├── .flaskenv
├── .github
└── FUNDING.yml
├── .gitignore
├── .idea
├── DataSciComp.iml
├── misc.xml
├── modules.xml
├── vcs.xml
└── workspace.xml
├── .vscode
├── settings.json
└── tags
├── DataSciComp.code-workspace
├── LICENSE
├── Pipfile
├── Pipfile.lock
├── README.md
├── README_old.md
├── __pycache__
└── run.cpython-36.pyc
├── _data
├── _effective_EvalAI.yaml
├── _effective_FUTURELAB_AI.yaml
├── _effective_FlyAI.yaml
├── _effective_GECCO.yaml
├── _effective_ICDAR.yaml
├── _effective_ICME.yaml
├── _effective_MagicMirror.yaml
├── _effective_NeurIPS.yaml
├── _effective_aicrowd.yaml
├── _effective_analyticsvidhya.yaml
├── _effective_baiduAIstudio.yaml
├── _effective_biendata.yaml
├── _effective_challengedata.yaml
├── _effective_codalab.yaml
├── _effective_crowdai.yaml
├── _effective_crowdanalytix.yaml
├── _effective_datafountain.yaml
├── _effective_dcjingsai.yaml
├── _effective_drivendata.yaml
├── _effective_grand_challenge.yaml
├── _effective_herox.yaml
├── _effective_iQIYI.yaml
├── _effective_kaggle.yaml
├── _effective_kelvins.yaml
├── _effective_kesci.yaml
├── _effective_others.yaml
├── _effective_signate.yaml
├── _effective_tinymind.yaml
├── _effective_unearthed.yaml
├── _effective_天池.yaml
├── _effective_点石.yaml
├── _hosts.yaml
├── _timezone
└── readme
├── docs
├── CNAME
├── favicon.ico
├── hostby.html
├── index.html
├── static
│ ├── bootstrap-4.2.1-dist
│ │ ├── css
│ │ │ ├── bootstrap-grid.css
│ │ │ ├── bootstrap-grid.css.map
│ │ │ ├── bootstrap-grid.min.css
│ │ │ ├── bootstrap-grid.min.css.map
│ │ │ ├── bootstrap-reboot.css
│ │ │ ├── bootstrap-reboot.css.map
│ │ │ ├── bootstrap-reboot.min.css
│ │ │ ├── bootstrap-reboot.min.css.map
│ │ │ ├── bootstrap.css
│ │ │ ├── bootstrap.css.map
│ │ │ ├── bootstrap.min.css
│ │ │ └── bootstrap.min.css.map
│ │ └── js
│ │ │ ├── bootstrap.bundle.js
│ │ │ ├── bootstrap.bundle.js.map
│ │ │ ├── bootstrap.bundle.min.js
│ │ │ ├── bootstrap.bundle.min.js.map
│ │ │ ├── bootstrap.js
│ │ │ ├── bootstrap.js.map
│ │ │ ├── bootstrap.min.js
│ │ │ └── bootstrap.min.js.map
│ ├── deadlines_css
│ │ └── deadlines.css
│ ├── img
│ │ ├── apple-touch-icon.png
│ │ ├── calendar.png
│ │ ├── favicon-16x16.png
│ │ ├── favicon-32x32.png
│ │ ├── favicon.ico
│ │ ├── mstile-144x144.png
│ │ ├── safari-pinned-tab.svg
│ │ └── site.webmanifest
│ └── js
│ │ ├── jquery.countdown.min.js
│ │ ├── jquery.min.js
│ │ ├── moment-timezone-with-data.min.js
│ │ ├── moment.min.js
│ │ ├── ouical.min.js
│ │ └── store.min.js
└── update_log.xml
├── environment.yml
├── favicon.ico
├── run.py
├── static
├── .DS_Store
├── bootstrap-4.2.1-dist
│ ├── .DS_Store
│ ├── css
│ │ ├── bootstrap-grid.css
│ │ ├── bootstrap-grid.css.map
│ │ ├── bootstrap-grid.min.css
│ │ ├── bootstrap-grid.min.css.map
│ │ ├── bootstrap-reboot.css
│ │ ├── bootstrap-reboot.css.map
│ │ ├── bootstrap-reboot.min.css
│ │ ├── bootstrap-reboot.min.css.map
│ │ ├── bootstrap.css
│ │ ├── bootstrap.css.map
│ │ ├── bootstrap.min.css
│ │ └── bootstrap.min.css.map
│ └── js
│ │ ├── bootstrap.bundle.js
│ │ ├── bootstrap.bundle.js.map
│ │ ├── bootstrap.bundle.min.js
│ │ ├── bootstrap.bundle.min.js.map
│ │ ├── bootstrap.js
│ │ ├── bootstrap.js.map
│ │ ├── bootstrap.min.js
│ │ └── bootstrap.min.js.map
├── deadlines_css
│ └── deadlines.css
├── img
│ ├── apple-touch-icon.png
│ ├── calendar.png
│ ├── favicon-16x16.png
│ ├── favicon-32x32.png
│ ├── favicon.ico
│ ├── mstile-144x144.png
│ ├── safari-pinned-tab.svg
│ └── site.webmanifest
└── js
│ ├── jquery.countdown.min.js
│ ├── jquery.min.js
│ ├── moment-timezone-with-data.min.js
│ ├── moment.min.js
│ ├── ouical.min.js
│ └── store.min.js
└── templates
├── .DS_Store
├── base.html
├── hostby.html
└── index.html
/.flaskenv:
--------------------------------------------------------------------------------
1 | # FLASK
2 |
3 | FLASK_ENV=development
4 | # FLASK_DEBUG=0
5 | FLASK_APP=run
--------------------------------------------------------------------------------
/.github/FUNDING.yml:
--------------------------------------------------------------------------------
1 | # These are supported funding model platforms
2 |
3 | github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
4 | patreon: # Replace with a single Patreon username
5 | open_collective: # Replace with a single Open Collective username
6 | ko_fi: # Replace with a single Ko-fi username
7 | tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
8 | community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
9 | liberapay: # Replace with a single Liberapay username
10 | issuehunt: # Replace with a single IssueHunt username
11 | otechie: # Replace with a single Otechie username
12 | custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
13 | custom: ['https://sm.ms/image/6gfQYtARmqPyUFI']
14 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | # DIY
2 | *.pyc
3 | .DS_Store
4 | *.db
5 |
6 |
7 | # Byte-compiled / optimized / DLL files
8 | __pycache__/
9 | *.py[cod]
10 | *$py.class
11 |
12 | # C extensions
13 | *.so
14 |
15 | # Distribution / packaging
16 | .Python
17 | # build/
18 | develop-eggs/
19 | dist/
20 | downloads/
21 | eggs/
22 | .eggs/
23 | lib/
24 | lib64/
25 | parts/
26 | sdist/
27 | var/
28 | wheels/
29 | *.egg-info/
30 | .installed.cfg
31 | *.egg
32 | MANIFEST
33 |
34 | # PyInstaller
35 | # Usually these files are written by a python script from a template
36 | # before PyInstaller builds the exe, so as to inject date/other infos into it.
37 | *.manifest
38 | *.spec
39 |
40 | # Installer logs
41 | pip-log.txt
42 | pip-delete-this-directory.txt
43 |
44 | # Unit test / coverage reports
45 | htmlcov/
46 | .tox/
47 | .coverage
48 | .coverage.*
49 | .cache
50 | nosetests.xml
51 | coverage.xml
52 | *.cover
53 | .hypothesis/
54 | .pytest_cache/
55 |
56 | # Translations
57 | *.mo
58 | *.pot
59 |
60 | # Django stuff:
61 | *.log
62 | local_settings.py
63 | db.sqlite3
64 |
65 | # Flask stuff:
66 | instance/
67 | .webassets-cache
68 |
69 | # Scrapy stuff:
70 | .scrapy
71 |
72 | # Sphinx documentation
73 | docs/_build/
74 |
75 | # PyBuilder
76 | target/
77 |
78 | # Jupyter Notebook
79 | .ipynb_checkpoints
80 |
81 | # pyenv
82 | .python-version
83 |
84 | # celery beat schedule file
85 | celerybeat-schedule
86 |
87 | # SageMath parsed files
88 | *.sage.py
89 |
90 | # Environments
91 | .env
92 | .venv
93 | env/
94 | venv/
95 | ENV/
96 | env.bak/
97 | venv.bak/
98 |
99 | # Spyder project settings
100 | .spyderproject
101 | .spyproject
102 |
103 | # Rope project settings
104 | .ropeproject
105 |
106 | # mkdocs documentation
107 | /site
108 |
109 | # mypy
110 | .mypy_cache/
111 |
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/.idea/DataSciComp.iml:
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/.idea/misc.xml:
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/.idea/modules.xml:
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/.idea/vcs.xml:
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/.idea/workspace.xml:
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52 |
53 | DataSci
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66 |
69 | true
70 | DEFINITION_ORDER
71 |
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/.vscode/settings.json:
--------------------------------------------------------------------------------
1 | {
2 | "python.pythonPath": ".venv/bin/python3.6",
3 | "python.formatting.blackPath": "/Users/Herb/anaconda3/bin/black"
4 | }
--------------------------------------------------------------------------------
/DataSciComp.code-workspace:
--------------------------------------------------------------------------------
1 | {
2 | "folders": [
3 | {
4 | "path": "."
5 | }
6 | ],
7 | "settings": {
8 | "python.pythonPath": ".venv/bin/python3.6",
9 | "python.formatting.blackPath": "/Users/Herb/anaconda3/bin/black"
10 | }
11 | }
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2017 Herb
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
--------------------------------------------------------------------------------
/Pipfile:
--------------------------------------------------------------------------------
1 | [[source]]
2 | name = "pypi"
3 | url = "https://pypi.org/simple"
4 | verify_ssl = true
5 |
6 | [dev-packages]
7 | v = {editable = true,version = "*"}
8 |
9 | [packages]
10 | flask = "*"
11 | python-dotenv = "*"
12 | frozen-flask = "*"
13 | flask-flatpages = "*"
14 | flask-wtf = "*"
15 | flask-sqlalchemy = "*"
16 | bootstrap-flask = "*"
17 | pyyaml = "*"
18 |
19 | [requires]
20 | python_version = "3.6"
21 |
--------------------------------------------------------------------------------
/Pipfile.lock:
--------------------------------------------------------------------------------
1 | {
2 | "_meta": {
3 | "hash": {
4 | "sha256": "8716fab7a78e30a20b22e0854c36619f2688073e292fd95cfa27c78f31fc7829"
5 | },
6 | "pipfile-spec": 6,
7 | "requires": {
8 | "python_version": "3.6"
9 | },
10 | "sources": [
11 | {
12 | "name": "pypi",
13 | "url": "https://pypi.org/simple",
14 | "verify_ssl": true
15 | }
16 | ]
17 | },
18 | "default": {
19 | "bootstrap-flask": {
20 | "hashes": [
21 | "sha256:1f7462261b8104687807ce74b397270e7ade07c491ad7d53f215940d8433d756",
22 | "sha256:ce5cf19c46b8d385923dc2f9ca76b92fc08c1a8d7dcb5d177325a85a94d71045"
23 | ],
24 | "index": "pypi",
25 | "version": "==1.0.9"
26 | },
27 | "click": {
28 | "hashes": [
29 | "sha256:2335065e6395b9e67ca716de5f7526736bfa6ceead690adf616d925bdc622b13",
30 | "sha256:5b94b49521f6456670fdb30cd82a4eca9412788a93fa6dd6df72c94d5a8ff2d7"
31 | ],
32 | "version": "==7.0"
33 | },
34 | "flask": {
35 | "hashes": [
36 | "sha256:2271c0070dbcb5275fad4a82e29f23ab92682dc45f9dfbc22c02ba9b9322ce48",
37 | "sha256:a080b744b7e345ccfcbc77954861cb05b3c63786e93f2b3875e0913d44b43f05"
38 | ],
39 | "index": "pypi",
40 | "version": "==1.0.2"
41 | },
42 | "flask-flatpages": {
43 | "hashes": [
44 | "sha256:2c3dd9667be3b51621e3ed391e74c3f836bb2c1adcf81be761cdbf44388bf74b",
45 | "sha256:6342b45f2a902f5d94daf877c25e766df02de1642e962f84d7bc5164ce145b80"
46 | ],
47 | "index": "pypi",
48 | "version": "==0.7.0"
49 | },
50 | "flask-sqlalchemy": {
51 | "hashes": [
52 | "sha256:3bc0fac969dd8c0ace01b32060f0c729565293302f0c4269beed154b46bec50b",
53 | "sha256:5971b9852b5888655f11db634e87725a9031e170f37c0ce7851cf83497f56e53"
54 | ],
55 | "index": "pypi",
56 | "version": "==2.3.2"
57 | },
58 | "flask-wtf": {
59 | "hashes": [
60 | "sha256:5d14d55cfd35f613d99ee7cba0fc3fbbe63ba02f544d349158c14ca15561cc36",
61 | "sha256:d9a9e366b32dcbb98ef17228e76be15702cd2600675668bca23f63a7947fd5ac"
62 | ],
63 | "index": "pypi",
64 | "version": "==0.14.2"
65 | },
66 | "frozen-flask": {
67 | "hashes": [
68 | "sha256:0a7a71334210ce84f8cbd1dc23c8b265d3e21748805c09c77d0e6fbcc4faab14",
69 | "sha256:83858d6ed8b9d3fa7fc9523e415e65fb86b99352798d7695f63cffbd59a56269"
70 | ],
71 | "index": "pypi",
72 | "version": "==0.15"
73 | },
74 | "itsdangerous": {
75 | "hashes": [
76 | "sha256:321b033d07f2a4136d3ec762eac9f16a10ccd60f53c0c91af90217ace7ba1f19",
77 | "sha256:b12271b2047cb23eeb98c8b5622e2e5c5e9abd9784a153e9d8ef9cb4dd09d749"
78 | ],
79 | "version": "==1.1.0"
80 | },
81 | "jinja2": {
82 | "hashes": [
83 | "sha256:74c935a1b8bb9a3947c50a54766a969d4846290e1e788ea44c1392163723c3bd",
84 | "sha256:f84be1bb0040caca4cea721fcbbbbd61f9be9464ca236387158b0feea01914a4"
85 | ],
86 | "version": "==2.10"
87 | },
88 | "markdown": {
89 | "hashes": [
90 | "sha256:c00429bd503a47ec88d5e30a751e147dcb4c6889663cd3e2ba0afe858e009baa",
91 | "sha256:d02e0f9b04c500cde6637c11ad7c72671f359b87b9fe924b2383649d8841db7c"
92 | ],
93 | "version": "==3.0.1"
94 | },
95 | "markupsafe": {
96 | "hashes": [
97 | "sha256:048ef924c1623740e70204aa7143ec592504045ae4429b59c30054cb31e3c432",
98 | "sha256:130f844e7f5bdd8e9f3f42e7102ef1d49b2e6fdf0d7526df3f87281a532d8c8b",
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100 | "sha256:1b8a7a87ad1b92bd887568ce54b23565f3fd7018c4180136e1cf412b405a47af",
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117 | "sha256:bf54103892a83c64db58125b3f2a43df6d2cb2d28889f14c78519394feb41492",
118 | "sha256:d9ac82be533394d341b41d78aca7ed0e0f4ba5a2231602e2f05aa87f25c51672",
119 | "sha256:e982fe07ede9fada6ff6705af70514a52beb1b2c3d25d4e873e82114cf3c5401",
120 | "sha256:edce2ea7f3dfc981c4ddc97add8a61381d9642dc3273737e756517cc03e84dd6",
121 | "sha256:efdc45ef1afc238db84cb4963aa689c0408912a0239b0721cb172b4016eb31d6",
122 | "sha256:f137c02498f8b935892d5c0172560d7ab54bc45039de8805075e19079c639a9c",
123 | "sha256:f82e347a72f955b7017a39708a3667f106e6ad4d10b25f237396a7115d8ed5fd",
124 | "sha256:fb7c206e01ad85ce57feeaaa0bf784b97fa3cad0d4a5737bc5295785f5c613a1"
125 | ],
126 | "version": "==1.1.0"
127 | },
128 | "python-dotenv": {
129 | "hashes": [
130 | "sha256:a84569d0e00d178bc5b957f7ff208bf49287cbf61857c31c258c4a91f571527b",
131 | "sha256:c9b1ddd3cdbe75c7d462cb84674d87130f4b948f090f02c7d7144779afb99ae0"
132 | ],
133 | "index": "pypi",
134 | "version": "==0.10.1"
135 | },
136 | "pyyaml": {
137 | "hashes": [
138 | "sha256:3d7da3009c0f3e783b2c873687652d83b1bbfd5c88e9813fb7e5b03c0dd3108b",
139 | "sha256:3ef3092145e9b70e3ddd2c7ad59bdd0252a94dfe3949721633e41344de00a6bf",
140 | "sha256:40c71b8e076d0550b2e6380bada1f1cd1017b882f7e16f09a65be98e017f211a",
141 | "sha256:558dd60b890ba8fd982e05941927a3911dc409a63dcb8b634feaa0cda69330d3",
142 | "sha256:a7c28b45d9f99102fa092bb213aa12e0aaf9a6a1f5e395d36166639c1f96c3a1",
143 | "sha256:aa7dd4a6a427aed7df6fb7f08a580d68d9b118d90310374716ae90b710280af1",
144 | "sha256:bc558586e6045763782014934bfaf39d48b8ae85a2713117d16c39864085c613",
145 | "sha256:d46d7982b62e0729ad0175a9bc7e10a566fc07b224d2c79fafb5e032727eaa04",
146 | "sha256:d5eef459e30b09f5a098b9cea68bebfeb268697f78d647bd255a085371ac7f3f",
147 | "sha256:e01d3203230e1786cd91ccfdc8f8454c8069c91bee3962ad93b87a4b2860f537",
148 | "sha256:e170a9e6fcfd19021dd29845af83bb79236068bf5fd4df3327c1be18182b2531"
149 | ],
150 | "index": "pypi",
151 | "version": "==3.13"
152 | },
153 | "sqlalchemy": {
154 | "hashes": [
155 | "sha256:52a42dbf02d0562d6e90e7af59f177f1cc027e72833cc29c3a821eefa009c71d"
156 | ],
157 | "version": "==1.2.17"
158 | },
159 | "werkzeug": {
160 | "hashes": [
161 | "sha256:c3fd7a7d41976d9f44db327260e263132466836cef6f91512889ed60ad26557c",
162 | "sha256:d5da73735293558eb1651ee2fddc4d0dedcfa06538b8813a2e20011583c9e49b"
163 | ],
164 | "version": "==0.14.1"
165 | },
166 | "wtforms": {
167 | "hashes": [
168 | "sha256:0cdbac3e7f6878086c334aa25dc5a33869a3954e9d1e015130d65a69309b3b61",
169 | "sha256:e3ee092c827582c50877cdbd49e9ce6d2c5c1f6561f849b3b068c1b8029626f1"
170 | ],
171 | "version": "==2.2.1"
172 | }
173 | },
174 | "develop": {
175 | "v": {
176 | "hashes": [
177 | "sha256:2d5a8f79a36aaebe62ef2c7068e3ec7f86656078202edabfdbf74715dc822d36",
178 | "sha256:cd6b6b20b4a611f209c88bcdfb7211321f85662efb2bdd53a7b40314d0a84618"
179 | ],
180 | "index": "pypi",
181 | "version": "==0.0.0"
182 | }
183 | }
184 | }
185 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | Important!
2 |
3 | This Repo was permanently archived in 2019/10/01. BUT this is not the end！
5 |
6 | With almost 3 months together in joint development, the project has been reborn once more!
9 |
10 | Click HERE for our new website! You can also move to Welcome page for more infomations.
11 |
12 |
13 | ---
14 | ---
15 | - The archived README text below
16 | - 以下是存档的 README 原文本
17 | ---
18 | ---
19 |
20 |
21 |
22 |
24 |
25 |
26 |
Data Science Challenge / Competition Deadlines
27 |
28 |
A collection of popular Data Science Challenges/Competitions
29 |
Countdown timers to keep track of the entry deadlines.
30 |
DataSciCamp.com
31 |
32 |
QR code (7月30日前有效)
81 |
82 |
83 |
84 |
85 |
86 | ## Data Format
87 |
88 | The entire dataset is stored in files `./_data/_effective_*.yaml` and `./_data/_hosts.yaml`.
89 |
90 | Here is an example:
91 |
92 | ```yaml
93 | - id: TrackML_Throughput_Phase
94 | type1:
95 | - PF
96 | - AC
97 | type2:
98 | - DM
99 | - CV
100 | title: TrackML Throughput Phase
101 | url: https://competitions.codalab.org/competitions/20574
102 | hostby:
103 | - CodaLab: https://competitions.codalab.org
104 | - NeurIPS 2018: https://nips.cc/Conferences/2018/CompetitionTrack
105 | range: Sept. 7, 2018 - March 12, 2019
106 | deadtime: "2019-03-12 23:59:59"
107 | timezone: UTC
108 | pubtime: '2019-02-15'
109 | note: 'The overall TrackML challenge web site is there .'
110 | prize: $15,000
111 | ```
112 |
113 | See more details: `./_data/readme`
114 |
115 |
116 | ## To-Do
117 |
118 | - [ ] 双语化？
119 | - [x] Add subscription / notification?
120 | - [ ] Add past challenges/competitions?（增加历史赛题集锦？）
121 | - [ ] Upgrade to a dynamic site. （升级成动态站点）
122 | - [ ] A more handy way to add/update by any visitors.（更方便的表单填写实现赛题增加/更新）
123 | - [ ] Auto-update infos by crawling target site.（定时爬虫监控目标站点的赛题信息更新）
124 |
125 |
126 | ## Feature Requests
127 |
128 | Help us imporve DataSciComp!
129 |
130 | 如果你还想 DataSciComp 支持新的特性和功能，请使用 [FeatHub](https://feathub.com/iphysresearch/DataSciComp) 进行投票，我们将综合考虑投票结果等因素来确定开发的优先级。
131 |
132 | [](http://feathub.com/iphysresearch/DataSciComp)
133 |
134 | [](http://feathub.com/iphysresearch/DataSciComp)
135 |
136 |
137 | ## FAQ
138 |
139 | - Where is the last `markdown` version?
140 | - see [README_old.md](https://github.com/iphysresearch/DataSciComp/blob/master/README_old.md)
141 | - 第一次打开站点发现所有赛题显示不正常，看到满眼 `Entry Deadline:` 的话，请科学上网后再试一次:joy: 。
142 | - 如果还有某种页面显示不正常的问题，请清空 cookies 和缓存再试一次:sob: 。
143 |
144 |
145 |
146 | ## Acknowledgments and other useful listings
147 |
148 | - [Flask](http://flask.pocoo.org) - *a microframework for Python based on Werkzeug, Jinja 2 and good intentions.*
149 | - Thanks to Abhishek Das for building the original site, [ai-deadlin.es](http://aideadlin.es)!
150 | - Thanks to [W3school](http://www.w3school.com.cn), [CODEPLY](https://www.codeply.com) and [Bootstrap](https://bootstrapdocs.com/v3.3.6/docs/css/) for HTML/CSS/JScript which helped me *my first* design experience.
151 | - [geodeadlin.es](http://geodeadlin.es/) by @LukasMosser
152 | - [neuro-deadlines](https://github.com/tbryn/neuro-deadlines) by @tbryn
153 | - [ai-challenge-deadlines](https://github.com/dieg0as/ai-challenge-deadlines) by @dieg0as
154 | - [2018-2019 International Conferences in AI, CV, DM, NLP and Robotics](https://jackietseng.github.io/conference_call_for_paper/2018-2019-conferences-with-ccf.html) by @JackieTseng
155 | - [CV-oriented ai-deadlines (with an emphasis on medical images)](https://creedai.github.io/ai-deadlines/) by @duducheng
156 | - [A searchable compilation of Kaggle past solutions](http://ndres.me/kaggle-past-solutions/) by @[EliotAndres](https://github.com/EliotAndres)
157 | - [Data competition Top Solution 数据竞赛top解决方案开源整理](https://github.com/Smilexuhc/Data-Competition-TopSolution) by @[Smilexuhc](https://github.com/Smilexuhc)
158 | - [Chinese Data Competitions' Solutions | CDCS 中国数据竞赛优胜解集锦](https://github.com/geekinglcq/CDCS) by @[geekinglcq](https://github.com/geekinglcq)
159 | - [ApacheCN 中文开源组织](http://www.apachecn.org) | 专注于优秀项目维护的开源组织 [[Github](https://github.com/apachecn), [Kaggle 项目实战（教程）](https://github.com/apachecn/kaggle)]
160 |
161 |
162 |
163 | ## Stargazers over time
164 |
165 | [](https://starcharts.herokuapp.com/iphyresearch/DataSciComp)
166 |
167 |
168 |
169 | ## License
170 |
171 | MIT
172 |
173 |
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/__pycache__/run.cpython-36.pyc:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/iphysresearch/DataSciComp/f9bbbdcabb7cfc99f34d03fc86ea6a3c04fc725d/__pycache__/run.cpython-36.pyc
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/_data/_effective_FUTURELAB_AI.yaml:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 | # FUTURELAB.AI ##
5 | # https://ai.futurelab.tv/contest
6 | # https://ai.futurelab.tv/tournament/3
7 |
8 | - id: futureai_1
9 | type1:
10 | - PF
11 | type2:
12 | - CV
13 | title: '2019未来杯高校AI挑战赛: 图像-发现超新星'
14 | url: https://ai.futurelab.tv/contest_detail/1
15 | hostby:
16 | - 睡前FUTURE.AI: https://ai.futurelab.tv/
17 | range: 3月8日 - 6月17日, 2019
18 | deadtime: "2019-03-29 23:59:59"
19 | timezone: "Asia/Shanghai"
20 | pubtime: '2019-03-12'
21 | note: '设计一个目标检测模型，从天文望远镜拍摄到的影像中发现疑似新星、超新星。'
22 | prize: 80,000RMB+
23 |
24 |
25 | - id: futureai_2
26 | type1:
27 | - PF
28 | type2:
29 | - SP
30 | title: '2019未来杯高校AI挑战赛: 语音-跨设备说话人识别'
31 | url: https://ai.futurelab.tv/contest_detail/2
32 | hostby:
33 | - 睡前FUTURE.AI: https://ai.futurelab.tv/
34 | range: 3月8日 - 6月17日, 2019
35 | deadtime: "2019-03-29 23:59:59"
36 | timezone: "Asia/Shanghai"
37 | pubtime: '2019-03-12'
38 | note: '设计一个声纹锁，家庭成员可以在特定设备上通过任意3句短句注册身份，仅家庭成员通过说任意短句可以开锁，未注册人员（攻击者）无法通过语音开锁。'
39 | prize: 100,000RMB+
40 |
41 |
42 | - id: futureai_3
43 | type1:
44 | - PF
45 | type2:
46 | - DM
47 | title: '2019未来杯高校AI挑战赛: 城市-房产租金预测'
48 | url: 'https://ai.futurelab.tv/contest_detail/3'
49 | hostby:
50 | - 睡前FUTURE.AI: https://ai.futurelab.tv/
51 | range: 4月8日 - 6月17日, 2019
52 | deadtime: "2019-05-28 23:59:59"
53 | timezone: "Asia/Shanghai"
54 | pubtime: '2019-04-11'
55 | note: '线上比赛要求参赛选手根据给定的数据集，建立模型，预测房屋租金。'
56 | prize: 90,000RMB
57 |
58 | - id: futureai_4
59 | type1:
60 | - PF
61 | type2:
62 | - DM
63 | title: '2019未来杯高校AI挑战赛: 互娱-漫画人脸识别'
64 | url: 'https://ai.futurelab.tv/contest_detail/4'
65 | hostby:
66 | - 睡前FUTURE.AI: https://ai.futurelab.tv/
67 | range: 4月8日 - 6月17日, 2019
68 | deadtime: "2019-04-22 23:59:59"
69 | timezone: "Asia/Shanghai"
70 | pubtime: '2019-04-11'
71 | note: '初赛中，选手需要基于给定的训练数据设计模型，判断给定的一对漫画图像和真实图像是否是同一个人。请将预测的结果按照测试集id顺序输出，以便平台对提交模型的结果进行验证。'
72 | prize: 90,000RMB
73 |
74 | - id: futureai_56
75 | type1:
76 | - PF
77 | type2:
78 | - DM
79 | title: '全国高校大数据应用创新大赛'
80 | url: 'https://ai.futurelab.tv/contest_detail/4'
81 | hostby:
82 | - 睡前FUTURE.AI: https://ai.futurelab.tv/
83 | range: 6月8日 - 9月, 2019
84 | deadtime: "2019-07-29 23:59:59"
85 | timezone: "Asia/Shanghai"
86 | pubtime: '2019-06-17'
87 | note: '全国高校大数据应用创新大赛”（以下简称大赛）是由教育部高等学校计算机类专业教学指导委员会、中国工程院中国工程科技知识中心和联合国教科文组织国际工程科技知识中心联合主办，复旦大学计算机学院承办，面向全国高校在校学生的，年度性大数据学科竞赛。
88 | 通用赛道：
89 | 大数据技术技能赛 : 大赛提供的数据和自选数据建立并训练模型，使之能够预测给定地区、日期和前置气象条件下，未来7天的部分气象要素的变化情况;
90 | 大数据与人工智能创意赛 : 本次大赛气象大数据开放式命题赛道，提供过去5年若干城市的气象数据，参赛选手可自主运用和扩充数据，设计一个基于气象大数据的跨行业跨领域的应用解决方案。Saliency4ASD is to drive efforts of visual attention modeling community towards a healthcare societal challenge. Gaze features related to saccades and fixations have demonstrated their usefulness in the identification of mental states, cognitive processes and neuropathologies (Tseng et al., 2013; Itti, 2015), notably for people with ASD (Autism Spectrum Disorder).'
75 | prize: NaN
--------------------------------------------------------------------------------
/_data/_effective_MagicMirror.yaml:
--------------------------------------------------------------------------------
1 |
2 | # 魔镜杯 ##
3 | # https://ai.ppdai.com/mirror/show
4 |
5 |
6 | - id: magic_mirror_4th
7 | type1:
8 | - PF
9 | type2:
10 | - DM
11 | title: '第四届魔镜杯大赛'
12 | url: https://ai.ppdai.com/mirror/goToMirrorDetail?mirrorId=17
13 | hostby:
14 | - 拍拍贷·AI: 'https://ai.ppdai.com/mirror/show'
15 | - DC: 'https://www.dcjingsai.com/common/cmpt/第四届“魔镜杯”数据应用大赛_竞赛信息.html'
16 | range: 2019-06-05 至 2019-07-11
17 | deadtime: "2019-07-04 23:59:59"
18 | timezone: "Asia/Shanghai"
19 | pubtime: '2019-05-30'
20 | note: '本次比赛以互联网金融信贷业务为背景，参赛选手需要利用提供的数据，预测资产组合在未来一段时间内每日的回款金额。赛题涵盖了信贷违约预测、现金流预测等金融领域常见问题，同时又是复杂的时序问题和多目标预测问题。'
21 | prize: ￥370000
22 |
23 |
--------------------------------------------------------------------------------
/_data/_effective_NeurIPS.yaml:
--------------------------------------------------------------------------------
1 |
2 |
3 | # NeurIPS ##
4 | # https://nips.cc/Conferences/2019/CallForCompetitions
5 |
6 |
7 | - id: C4C2019
8 | type1:
9 | - AC
10 | type2:
11 | - CV
12 | - SP
13 | title: 'Causality for Climate (C4C)'
14 | url: https://causeme.uv.es
15 | hostby:
16 | - NeurIPS 2019: https://nips.cc
17 | range: Jul 31 - Oct 31, 2019
18 | deadtime: "2019-10-31 23:59:59"
19 | timezone: UTC
20 | pubtime: '2019-07-23'
21 | note: 'A causal understanding of climatic interactions is of high societal relevance from identifying causes of extreme events to process understanding and weather forecasting. This competition comprises a number of multivariate time series datasets featuring major challenges of climate data from time delays and nonlinearity to nonstationarity and selection bias. The competition aims to open up new interdisciplinary research pathways by improving our scientific understanding of Earth’s climate, while also driving method development and benchmarking in the computer science community.'
22 | prize: $10,000USD
23 |
24 |
25 | - id: Reconnaissance2019
26 | type1:
27 | - AC
28 | type2:
29 | - RL
30 | title: 'Reconnaissance Blind Chess'
31 | url: https://rbc.jhuapl.edu
32 | hostby:
33 | - NeurIPS 2019: https://nips.cc
34 | range: August, 13 - Oct 31, 2019
35 | deadtime: "2019-08-06 23:59:59"
36 | timezone: UTC
37 | pubtime: '2019-07-23'
38 | note: "Build the best AI bot to play reconnaissance blind chess, a challenge for making optimal decisions in the face of uncertainty. Reconnaissance blind chess is like chess except a player does not know where her opponent's pieces are a priori. Rather, she can covertly sense a chosen 3x3 square of the board each turn and also learn partial information from captures."
39 | prize: $1,000USD
40 |
41 |
42 | - id: AutoDL2019NeurIPS
43 | type1:
44 | - AC
45 | type2:
46 | - CV
47 | - SP
48 | - DM
49 | - NLP
50 | - RL
51 | title: 'Automated Deep Learning (AutoDL)'
52 | url: https://autodl.chalearn.org
53 | hostby:
54 | - NeurIPS 2019: https://nips.cc
55 | range: Apr 29 - Oct 31, 2019
56 | deadtime: "2019-10-31 23:59:59"
57 | timezone: UTC
58 | pubtime: '2019-07-23'
59 | note: 'The AutoDL challenge aims taking the automate the design of deep learning (DL) methods to solve generic tasks. This is a challenge with “code submission”: machine learning algorithms are trained and tested on a challenge platform on data invisible to the participants. We target applications such as speech, image, video, and text, for which DL methods have had great success recently, to drive the community to work on automating the design of DL models. Raw data will be provided, formatted in a uniform tensor manner, to encourage participants to submit generic algorithms. We will impose restrictions on training time and resources to push the state-of-the-art further. We will provide a large number of pre-formatted public datasets and set up a repository of data exchange to enable meta-learning.'
60 | prize: ~$10,000USD
61 |
62 |
63 |
64 | - id: ObjectDetection3D2019
65 | type1:
66 | - AC
67 | type2:
68 | - RL
69 | title: '3D Object Detection over HD Maps for Autonomous Cars'
70 | url: https://level5.lyft.com/dataset/
71 | hostby:
72 | - NeurIPS 2019: https://nips.cc
73 | range: Nov 1 - Nov 7, 2019
74 | deadtime: "2019-11-07 23:59:59"
75 | timezone: UTC
76 | pubtime: '2019-07-23'
77 | note: 'Autonomous cars are expected to dramatically redefine the future of transportation. The 3D Perception system of the autonomous car is a critical keystone upon which high level autonomy functions depend. This competition is designed to help advance the state of the art in 3D object detection by focusing research on this topic in the context of autonomous cars, specifically by sharing the full modality of sensor data available to typical autonomous cars, and by providing access to a high fidelity HD map.'
78 | prize: ~17,500USD
79 |
80 |
81 |
82 | - id: Traffic4cast2019
83 | type1:
84 | - AC
85 | type2:
86 | - CV
87 | title: 'Traffic4cast -- Traffic Map Movie Forecasting'
88 | url: https://www.iarai.ac.at/traffic4cast/
89 | hostby:
90 | - NeurIPS 2019: https://nips.cc
91 | range: May 1 - Dec 1, 2019
92 | deadtime: "2019-10-15 23:59:59"
93 | timezone: UTC
94 | pubtime: '2019-07-23'
95 | note: "Predict high resolution traffic flow volume, heading, and speed on a whole city map looking 15 minutes into the future! Kicking off a series of annual competitions, this year's data is based on 100 billion probe points from 3 cities mapped in 5 minute intervals, showing trends across weekdays and seasonal effects. Improved traffic predictions are of great social, environmental, and economic value, while also advancing our general ability to capture the simple implicit rules underlying a complex system and model its future states."
96 | prize: ~17,000USD + 2 resea. fellowships up to 12 months + compl. registrations
97 |
98 |
99 |
100 | - id: gameofdrones2019
101 | type1:
102 | - AC
103 | type2:
104 | - RL
105 | title: 'Game of Drones – Competition at NeurIPS 2019'
106 | url: https://www.microsoft.com/en-us/research/academic-program/game-of-drones-competition-at-neurips-2019/
107 | hostby:
108 | - NeurIPS 2019: https://nips.cc
109 | range: July 1st – Dec. 8th, 2019
110 | deadtime: "2019-08-31 23:59:59"
111 | timezone: UTC
112 | pubtime: '2019-07-23'
113 | note: 'Game of Drones is a multi-drone racing tournament conducted in the high-fidelity simulation environment AirSim. Participants will have the choice of three tiers: Planning only, Perception only, or Full Autonomous Racing. The aim is to combine challenges from adversarial planning and real-time perception and to encourage fusing learning- and model-based approaches.'
114 | prize: ~12,000USD
115 |
116 |
117 | - id: ML4MPI
118 | type1:
119 | - AC
120 | type2:
121 | - DM
122 | title: 'Live Malaria Challenge'
123 | url: https://researcher.watson.ibm.com/researcher/view_group.php?id=9784
124 | hostby:
125 | - NeurIPS 2019: https://nips.cc
126 | range: TBA – Dec 11, 2019
127 | deadtime: "2019-12-11 23:59:59"
128 | timezone: UTC
129 | pubtime: '2019-07-23'
130 | note: 'In the NeurIPS Live Malaria Challenge we are looking for participants to apply machine learning tools to determine novel solutions which could impact malaria policy in Sub Saharan Africa. Specifically, how should combinations of interventions be deployed under budget constraints to impact lives saved and the prevalence of the malaria parasite in a simulated environment.'
131 | prize: 3 mo. Internship @IBM res. Africa
132 |
133 |
134 | - id: Pommermanyear22019
135 | type1:
136 | - AC
137 | type2:
138 | - RL
139 | title: 'Pommerman Year 2: Radio.'
140 | url: https://www.pommerman.com
141 | hostby:
142 | - NeurIPS 2019: https://nips.cc
143 | range: TBA – Nov 8, 2019
144 | deadtime: "2019-11-08 23:59:59"
145 | timezone: UTC
146 | pubtime: '2019-07-23'
147 | note: 'Pommerman: Train a team of communicative agents to play Bomberman in a partially observed setting. Compete against other teams.'
148 | prize: ~15,000USD in Google Cloud Credits
149 |
150 |
151 |
152 |
153 | - id: MicroNet_Challenge_NeurIPS2019
154 | type1:
155 | - AC
156 | type2:
157 | - CV
158 | - NLP
159 | title: 'MicroNet Challenge @NeurIPS 2019'
160 | url: https://micronet-challenge.github.io/
161 | hostby:
162 | - NeurIPS 2019: https://nips.cc
163 | range: June 1, 2018 - Dec 13, 2019
164 | deadtime: "2019-09-30 23:59:59"
165 | timezone: UTC
166 | pubtime: '2019-06-03'
167 | note: 'The competition consists of three different tasks. Contestants are free to submit entries for one, two, or all three tasks. Contestants are allowed to enter up to three models for each task, but will be ranked according to their top entry in each task. Entries can only be trained on the training data for the task they are entered in. No pre-training, or use of auxiliary data is allowed.
168 | ImageNet Classification : The de facto standard dataset for image classification. The dataset is composed of 1,281,167 training images and 50,000 development images. Entries are required to achieve 75% top-1 accuracy on the public test set.
169 | CIFAR-100 Classification : A widely popular image classification dataset of small images. The dataset is composed of 50,000 training images and 10,000 development images. Entries are required to achieve 80% top-1 accuracy on the test set.
170 | WikiText-103 Language Modeling : A language modeling dataset that emphasizes long-term dependencies. Entries will perform the standard language modeling task, predicting the next token from the current one. The dataset is composed of 103 million training words, 217 thousand development words, and 245 thousand testing words. Entries should use the standard word-level vocabulary of 267,735 tokens. Entries are required to achieve a word-level perplexity below 35 on the test set.'
171 | prize: NaN
172 |
--------------------------------------------------------------------------------
/_data/_effective_aicrowd.yaml:
--------------------------------------------------------------------------------
1 |
2 | # AICrowd ##
3 |
4 | # https://www.aicrowd.com/challenges
5 |
6 |
7 | - id: MineRL2019
8 | type1:
9 | - PF
10 | - AC
11 | type2:
12 | - RL
13 | title: 'NeurIPS 2019 : MineRL Competition'
14 | url: https://www.aicrowd.com/challenges/neurips-2019-minerl-competition
15 | hostby:
16 | - crowdAI: https://www.aicrowd.com/
17 | - NeurIPS 2019: https://nips.cc/Conferences/2019
18 | range: May 10 - Dec 8, 2019
19 | deadtime: '2019-09-22 23:59:59'
20 | timezone: UTC
21 | pubtime: '2019-07-23'
22 | note: 'The main task of the competition is solving the ObtainDiamond environment. In this environment, the agent begins in a random starting location without any items, and is tasked with obtaining a diamond. This task can only be accomplished by navigating the complex item hierarchy of Minecraft.'
23 | prize: Nvidia GPUs
24 |
25 |
26 |
27 | - id: learntomove
28 | type1:
29 | - PF
30 | - AC
31 | type2:
32 | - RL
33 | title: 'NeurIPS 2019: Learn to Move - Walk Around'
34 | url: http://osim-rl.stanford.edu/docs/nips2019/
35 | hostby:
36 | - crowdAI: https://www.aicrowd.com/challenges/neurips-2019-learn-to-move-walk-around
37 | - NeurIPS 2019: https://nips.cc/Conferences/2019
38 | range: June 6 ~ October 27, 2019
39 | deadtime: '2019-10-13 23:59:59'
40 | timezone: UTC
41 | pubtime: '2019-07-23'
42 | note: 'You are provided with a human musculoskeletal model and a physics-based simulation environment, OpenSim.
43 | time series of environmental data obtained from sensors in a large building. The objective is to learn a classifier that uses these time series as inputs to predict the associated comfort class computed as an average of the comfort classes of all individuals in the building, assumed to experience the same environmental conditions."
21 | prize: NaN
22 |
23 | - id: Drug_related_questions_classification
24 | type1:
25 | - PF
26 | type2:
27 | - NLP
28 | title: Drug-related questions classification
29 | url: https://challengedata.ens.fr/challenges/17
30 | hostby:
31 | - Challenge data: https://challengedata.ens.fr
32 | - Posos: https://www.posos.fr
33 | range: Jan. 1, 2019 - Jan. 1, 2020
34 | deadtime: "2020-01-01 23:59:59"
35 | timezone: UTC
36 | pubtime: '2019-02-01'
37 | note: "The goal of Posos challenge is to predict for each question the associated intent."
38 | prize: NaN
39 |
40 |
41 | - id: Detecting_breast_cancer_metastases
42 | type1:
43 | - PF
44 |
45 | - AC
46 | type2:
47 | - CV
48 | title: Detecting breast cancer metastases
49 | url: https://challengedata.ens.fr/challenges/18
50 | hostby:
51 | - Challenge data: https://challengedata.ens.fr
52 | - OWKIN: https://owkin.com
53 | range: Jan. 1, 2019 - Jan. 1, 2020
54 | deadtime: "2020-01-01 23:59:59"
55 | timezone: UTC
56 | pubtime: '2019-02-01'
57 | note: 'The challenge proposed by Owkin is a weakly-supervised binary classification problem : predict whether a patient has any metastase in its lymph node or not, given its slide.'
58 | prize: NaN
59 |
60 | - id: Building_Claim_Prediction
61 | type1:
62 | - PF
63 |
64 | type2:
65 | - DM
66 | title: Building Claim Prediction
67 | url: https://challengedata.ens.fr/challenges/19
68 | hostby:
69 | - Challenge data: https://challengedata.ens.fr
70 | - Generali: https://institutionnel.generali.fr/liste-des-offres
71 | range: Jan. 1, 2019 - Jan. 1, 2020
72 | deadtime: "2020-01-01 23:59:59"
73 | timezone: UTC
74 | pubtime: '2019-02-01'
75 | note: 'The goal of the challenge is to predict if a building will have an insurance claim during a certain period. You will have to predict a probability of having at least one claim over the insured period of a building.'
76 | prize: NaN
77 |
78 | - id: Crack_the_neural_code_of_the_brain
79 | type1:
80 | - PF
81 |
82 | type2:
83 | - DM
84 | - SP
85 | title: Crack the neural code of the brain
86 | url: https://challengedata.ens.fr/challenges/14
87 | hostby:
88 | - Challenge data: https://challengedata.ens.fr
89 | - GNT ENS: https://lnc2.dec.ens.fr/en
90 | range: Jan. 1, 2019 - Jan. 1, 2020
91 | deadtime: "2020-01-01 23:59:59"
92 | timezone: UTC
93 | pubtime: '2019-02-01'
94 | note: 'The challenge goal is to classify the brain activity state of an animal based on spiking activity patterns of its individual neurons.'
95 | prize: NaN
96 |
97 | - id: Prediction_of_Sharpe_ratio_for_blends_of_quantitative_strategies
98 | type1:
99 | - PF
100 |
101 | type2:
102 | - DM
103 | title: Prediction of Sharpe ratio for blends of quantitative strategies
104 | url: https://challengedata.ens.fr/challenges/13
105 | hostby:
106 | - Challenge data: https://challengedata.ens.fr
107 | - Napoleon X: https://www.napoleonx.ai
108 | range: Jan. 1, 2019 - Jan. 1, 2020
109 | deadtime: "2020-01-01 23:59:59"
110 | timezone: UTC
111 | pubtime: '2019-02-01'
112 | note: 'The problem is a prediction challenge that aims at helping the Company to build an optimal blend of quantitative strategies, given a set of such strategies.'
113 | prize: NaN
114 |
115 |
116 | - id: Historical_consumption_regression_for_electricity_supply_pricing
117 | type1:
118 | - PF
119 | type2:
120 | - DM
121 | title: Historical consumption regression for electricity supply pricing
122 | url: https://challengedata.ens.fr/challenges/12
123 | hostby:
124 | - Challenge data: https://challengedata.ens.fr
125 | - BCM Energy: https://www.planete-oui.fr/particuliers
126 | range: Jan. 1, 2019 - Jan. 1, 2020
127 | deadtime: "2020-01-01 23:59:59"
128 | timezone: UTC
129 | pubtime: '2019-02-01'
130 | note: 'The goal of the challenge is to predict, based on the analysis of the correlation of a year of consumption and weather training data, the electricity consumption of two given sites for a test year.'
131 | prize: NaN
132 |
133 | - id: Predict_brain_deep_sleep_slow_oscillation
134 | type1:
135 | - PF
136 | type2:
137 | - DM
138 | title: Predict brain deep sleep slow oscillation
139 | url: https://challengedata.ens.fr/challenges/10
140 | hostby:
141 | - Challenge data: https://challengedata.ens.fr
142 | - Dreem: https://dreem.com
143 | range: Jan. 1, 2019 - Jan. 1, 2020
144 | deadtime: "2020-01-01 23:59:59"
145 | timezone: UTC
146 | pubtime: '2019-02-01'
147 | note: 'In this dataset, we try to predict whether or not a slow oscillation will be followed by another one in sham condition, i.e. without any stimulation.'
148 | prize: NaN
149 |
150 | - id: Spatiotemporal_PM10_concentration_prediction
151 | type1:
152 | - PF
153 | type2:
154 | - DM
155 | title: Spatiotemporal PM10 concentration prediction
156 | url: https://challengedata.ens.fr/challenges/7
157 | hostby:
158 | - Challenge data: https://challengedata.ens.fr
159 | - Plume Labs: https://plumelabs.com/en/
160 | range: Jan. 1, 2019 - Jan. 1, 2020
161 | deadtime: "2020-01-01 23:59:59"
162 | timezone: UTC
163 | pubtime: '2019-02-01'
164 | note: 'In order to provide air quality forecasts, Plume Labs has built a unique database with readings collected by monitoring stations all over the world. The problem we submit consists in predicting the PM10 readings of some air quality monitoring stations using the readings provided by the monitoring stations nearby as well as urban features.'
165 | prize: NaN
166 |
167 |
168 | - id: Dynamic_Profile_Forecasting
169 | type1:
170 | - PF
171 | type2:
172 | - DM
173 | title: Dynamic Profile Forecasting
174 | url: https://challengedata.ens.fr/challenges/6
175 | hostby:
176 | - Challenge data: https://challengedata.ens.fr
177 | - Enedis: https://www.enedis.fr
178 | range: Jan. 1, 2019 - Jan. 1, 2020
179 | deadtime: "2020-01-01 23:59:59"
180 | timezone: UTC
181 | pubtime: '2019-02-01'
182 | note: 'This challenge is about forecasting dynamic profiles values from their past values and all the components of Enedis’ Half hourly Electrical Balancing .'
183 | prize: NaN
184 |
185 |
186 | - id: Solve_2x2x2_Rubiks_cube
187 | type1:
188 | - PF
189 | type2:
190 | - DM
191 | title: Solve 2x2x2 Rubik's cube
192 | url: https://challengedata.ens.fr/challenges/20
193 | hostby:
194 | - Challenge data: https://challengedata.ens.fr
195 | - LumenAI: http://www.lumenai.fr
196 | range: Jan. 1, 2019 - Jan. 1, 2020
197 | deadtime: "2020-01-01 23:59:59"
198 | timezone: UTC
199 | pubtime: '2019-02-01'
200 | note: "The goal is to design an automatic Rubik's analyzer that estimates the current length of the shortest path to the solution."
201 | prize: NaN
202 |
203 | - id: Exotic_pricing_with_multidimensional_non_linear_interpolation
204 | type1:
205 | - PF
206 | type2:
207 | - DM
208 | title: Exotic pricing with multidimensional non-linear interpolation
209 | url: https://challengedata.ens.fr/challenges/9
210 | hostby:
211 | - Challenge data: https://challengedata.ens.fr
212 | - Natixis: http://www.natixis.com
213 | range: Jan. 1, 2019 - Jan. 1, 2020
214 | deadtime: "2020-01-01 23:59:59"
215 | timezone: UTC
216 | pubtime: '2019-02-01'
217 | note: "The purpose of the challenge is to use a training set of 1 million prices to learn how to price a specific type of instruments described by 23 parameters by nonlinear interpolation on these prices."
218 | prize: NaN
219 |
220 | - id: Screening_and_Diagnosis_of_esophageal_cancer_from_in_vivo_microscopy_images
221 | type1:
222 | - PF
223 | type2:
224 | - CV
225 | title: Screening and Diagnosis of esophageal cancer from in-vivo microscopy images
226 | url: https://challengedata.ens.fr/challenges/11
227 | hostby:
228 | - Challenge data: https://challengedata.ens.fr
229 | - Mauna Kea Technologies: https://www.maunakeatech.com
230 | range: Jan. 1, 2019 - Jan. 1, 2020
231 | deadtime: "2020-01-01 23:59:59"
232 | timezone: UTC
233 | pubtime: '2019-02-01'
234 | note: "The goal of this challenge is to build an image classifier to assist physicians in the screening and diagnosis of esophageal cancer."
235 | prize: NaN
236 |
237 | - id: Prediction_of_daily_stock_movements_on_the_US_market
238 | type1:
239 | - PF
240 | type2:
241 | - DM
242 | title: Prediction of daily stock movements on the US market
243 | url: https://challengedata.ens.fr/challenges/16
244 | hostby:
245 | - Challenge data: https://challengedata.ens.fr
246 | - CFM: http://cfm.fr
247 | range: Jan. 1, 2019 - Jan. 1, 2020
248 | deadtime: "2020-01-01 23:59:59"
249 | timezone: UTC
250 | pubtime: '2019-02-01'
251 | note: "The goal of this challenge is to predict the sign of the returns (= price change over some time interval) at the end of about 700 days for about 700 stocks ."
252 | prize: NaN
--------------------------------------------------------------------------------
/_data/_effective_crowdai.yaml:
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1 |
2 | # CrowdAI ##
3 | # https://www.crowdai.org/challenges
4 | # https://www.aicrowd.com/challenges
5 |
6 |
7 | - id: ImageCLEF_2019
8 | type1:
9 | - PF
10 | - AC
11 | type2:
12 | - DM
13 | - CV
14 | title: ImageCLEF 2019
15 | url: https://www.imageclef.org/2019
16 | hostby:
17 | - crowdAI: https://www.crowdai.org/organizers/imageclef
18 | - ImageCLEF 2019: https://www.imageclef.org
19 | range: November 12, 2018 - May 24, 2019
20 | deadtime: '2019-04-26 23:59:59'
21 | timezone: UTC
22 | pubtime: '2019-02-01'
23 | note: 'ImageCLEF 2019 proposes 4 main tasks:
24 | ImageCLEFcoral : The task addresses the problem of automatically segmenting and labeling a collection of images of an underwater environment for the monitoring of coral reef structure and composition.
25 | ImageCLEFlifelog : The task addresses the problems of lifelogging data retrieval and summarization.
26 | ImageCLEFmedical : The task addresses the challenge of automatically predicting tuberculosis type from 3D chest CT scans and mapping of visual information to textual descriptions.
27 | ImageCLEFsecurity : The task addresses the problems of automatically identifying forged content and retrieve hidden information.'
28 | prize: NaN
29 |
30 | - id: LifeCLEF_2019
31 | type1:
32 | - PF
33 | - AC
34 | type2:
35 | - DM
36 | - CV
37 | title: LifeCLEF 2019
38 | url: https://www.imageclef.org/lifeclef2019
39 | hostby:
40 | - crowdAI: https://www.crowdai.org/organizers/lifeclef
41 | - LifeCLEF 2019: https://www.imageclef.org/
42 | range: Dec. 2018 - May 24, 2019
43 | deadtime: '2019-05-01 23:59:59'
44 | timezone: UTC
45 | pubtime: '2019-02-01'
46 | note: 'LifeCLEF 2019 proposes 3 main tasks:
47 | GeoLifeCLEF 2019 : The aim of the challenge is to predict the list of species that are the most likely to be observed at a given location.
48 | PlantCLEF 2019 : The goal of the task is return the most likely species for each observation of the test set (an observation being a set of images of the same individual plant and the associated metadata such as date, gps, author).
49 | BirdCLEF 2019 : The goal of the task is to localize and identify all audible birds within the provided soundscape recordings.'
50 | prize: NaN
51 |
52 |
--------------------------------------------------------------------------------
/_data/_effective_crowdanalytix.yaml:
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1 |
2 |
3 | # crowdanalytix
4 | # https://www.crowdanalytix.com/listContests
5 |
6 |
7 | - id: identify-characters-from-product-images
8 | type1:
9 | - PF
10 | - AC
11 | type2:
12 | - CV
13 | title: Identify Characters from Product Images
14 | url: https://www.crowdanalytix.com/contests/identify-characters-from-product-images
15 | hostby:
16 | - CrowdANALYTIX: https://www.crowdanalytix.com
17 | range: 12 MAY 2019 - 9 JUL 2019
18 | deadtime: "2020-06-20 19:59:59"
19 | timezone: UTC
20 | pubtime: '2019-05-16'
21 | note: 'Identify the characters from product image from a list of 42 possible values.
22 | AI开发者大赛-工程机械核心部件寿命预测挑战赛
105 | AI开发者大赛-大数据应用分类标注挑战赛
106 | AI开发者大赛-广告营销反作弊算法挑战赛
107 | AI开发者大赛-阿尔茨海默综合征预测挑战赛 '
108 | prize: '1000000 x 8'
109 |
110 |
111 | - id: AIinTRCzhiliang
112 | type1:
113 | - PF
114 | type2:
115 | - CV
116 | title: 'AI in RTC-超分辨率图像质量比较挑战赛'
117 | url: 'https://www.dcjingsai.com/common/cmpt/AI%20in%20RTC-超分辨率图像质量比较挑战赛_竞赛信息.html'
118 | hostby:
119 | - DC 竞赛: 'http://www.dcjingsai.com'
120 | range: 7月1日-10月23日, 2019
121 | deadtime: "2019-09-27 13:59:59"
122 | timezone: "Asia/Shanghai"
123 | pubtime: '2019-07-06'
124 | note: '单帧图像超分辨率近年来备受关注。同样的图像，在经过不同超分辨率算法处理后，获得的图像质量也有所不同。在这个挑战中，参赛者需要对100张图片进行4倍超分辨率处理。比赛最终以PI (perceptual index)指标作为评判标准，PI值越小，表明图像质量越高，得分越高，分值高的团队获得优胜。'
125 | prize: '100000'
126 |
127 | - id: AIinTRCxingneng
128 | type1:
129 | - PF
130 | type2:
131 | - CV
132 | title: 'AI in RTC-超分辨率算法性能比较挑战赛'
133 | url: 'https://www.dcjingsai.com/common/cmpt/AI%20in%20RTC-超分辨率算法性能比较挑战赛_竞赛信息.html'
134 | hostby:
135 | - DC 竞赛: 'http://www.dcjingsai.com'
136 | range: 7月1日-10月23日, 2019
137 | deadtime: "2019-09-27 13:59:59"
138 | timezone: "Asia/Shanghai"
139 | pubtime: '2019-07-06'
140 | note: '将超分辨算法用于处理实时视频流时，模型的处理表现与运算性能，是一个两难的选择。为了追求较低复杂度，可能需要牺牲图像质量；为了追求较高质量的输出，导致设备资源占用过高，产生设备发烫、视频模糊卡顿等现象。该挑战主要考察算法模型的性能，参赛者需要对图像做2倍的超分辨率处理，算法复杂度控制在1GFLOPs之内，我们以SRCNN模型为baseline, 并采用PSNR、SSIM及运行时间来综合评估算法的性能，分值高者即获胜。'
141 | prize: '100000'
142 |
--------------------------------------------------------------------------------
/_data/_effective_drivendata.yaml:
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1 |
2 | # DrivenData ##
3 | # https://www.drivendata.org/competitions
4 |
5 | - id: Sustainable_Industry_Rinse_Over_Run
6 | type1:
7 | - PF
8 | type2:
9 | - DM
10 | title: "Sustainable Industry: Rinse Over Run"
11 | url: https://www.drivendata.org/competitions/56/predict-cleaning-time-series/
12 | hostby:
13 | - DrivenData: https://www.drivendata.org
14 | range: Now - March 18 2019
15 | deadtime: "2019-03-18 23:59:59"
16 | timezone: UTC
17 | pubtime: '2019-02-01'
18 | note:
19 | prize: €20,000
20 |
--------------------------------------------------------------------------------
/_data/_effective_herox.yaml:
--------------------------------------------------------------------------------
1 |
2 |
3 | # herox ##
4 | # https://www.herox.com/crowdsourcing-projects/data-science?sort=newest
5 |
6 |
7 | - id: Geopolitical_Forecasting_GF_Challenge_2
8 | type1:
9 | - PF
10 | type2:
11 | - DM
12 | title: 'Geopolitical Forecasting [GF] Challenge 2'
13 | url: https://www.herox.com/IARPAGFChallenge2
14 | hostby:
15 | - Herox: 'https://www.herox.com'
16 | range: April 4, 2018 - Feb. 1, 2020
17 | deadtime: "2019-11-30 23:59:59"
18 | timezone: UTC
19 | pubtime: '2019-04-11'
20 | note: 'Solvers, whether individuals or teams, will create innovative solutions and methods to produce forecasts to a set of more than 300 questions referred to as Individual Forecasting Problems (IFPs), released regularly over the course of the nine-month Challenge.'
21 | prize: $250,000
22 |
--------------------------------------------------------------------------------
/_data/_effective_iQIYI.yaml:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 | # http://challenge.ai.iqiyi.com
5 |
6 |
7 |
8 |
9 | - id: Deep_Learning_based_Loop_Filter
10 | type1:
11 | - PF
12 | - AC
13 | type2:
14 | - CV
15 | - SP
16 | title: 'Challenge on Deep Learning based Loop Filter for Video Coding'
17 | url: http://challenge.ai.iqiyi.com/detail?raceId=5b112a742a360316a898ff50
18 | hostby:
19 | - 爱奇艺|iQIYI: http://challenge.ai.iqiyi.com/
20 | - AVS Workgroup: http://www.avs.org.cn/english/index.asp
21 | range: May, 25th - May, 31st, 2018
22 | deadtime: "2019-09-01 23:59:59"
23 | timezone: "Asia/Shanghai"
24 | pubtime: '2019-03-21'
25 | note: 'The participants are encouraged to investigate neural network based methods (especially convolutional neural networks) with different network structures, in a hope of achieving the best quality with lightest network configuration for a good tradeoff of efficiency and complexity. '
26 | prize: NaN
27 |
28 |
29 |
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/_data/_effective_kelvins.yaml:
--------------------------------------------------------------------------------
1 |
2 |
3 | # Kelvins ##
4 | # https://kelvins.esa.int
5 |
6 | - id: PROBA_V_Super_Resolution
7 | type1:
8 | - PF
9 | - AC
10 | type2:
11 | - CV
12 | title: 'PROBA-V Super Resolution'
13 | url: https://kelvins.esa.int/proba-v-super-resolution/
14 | hostby:
15 | - Kelvins: https://kelvins.esa.int
16 | range: Nov. 1, 2018 - June 1, 2019
17 | deadtime: '2019-06-01 03:59:59'
18 | timezone: UTC
19 | pubtime: '2019-02-01'
20 | note: 'Enhance the vegetation payload performances.
21 | One camera, one image, one pose.
40 | Predicting User Behavior Diversities in A Dynamic Interactive Environment
70 | Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation '
71 | prize: $25000 + $25000
72 |
73 | - id: antaibei
74 | type1:
75 | - PF
76 | type2:
77 | - DM
78 | title: '安泰杯 —— 跨境电商智能算法大赛'
79 | url: https://tianchi.aliyun.com/competition/entrance/231718/introduction?spm=5176.12281949.1003.1.3a994c2axCiMpB
80 | hostby:
81 | - 天池: 'https://tianchi.aliyun.com/'
82 | range: 7月16 - 9月16, 2019
83 | deadtime: "2019-08-09 09:59:59"
84 | timezone: "Asia/Shanghai"
85 | pubtime: '2019-06-17'
86 | note: '本次比赛给出若干日内来自成熟国家的部分用户的行为数据，以及来自待成熟国家的A部分用户的行为数据，以及待成熟国家的B部分用户的行为数据去除每个用户的最后一条购买数据，让参赛人预测B部分用户的最后一条行为数据。'
87 | prize: ￥100000
88 |
89 |
90 | - id: xianyunongye2019
91 | type1:
92 | - PF
93 | type2:
94 | - CV
95 | title: '2019 年县域农业大脑AI挑战赛'
96 | url: https://tianchi.aliyun.com/competition/entrance/231717/introduction
97 | hostby:
98 | - 天池: 'https://tianchi.aliyun.com/'
99 | range: 6月05 - 9月25, 2019
100 | deadtime: "2019-07-19 11:59:59"
101 | timezone: "Asia/Shanghai"
102 | pubtime: '2019-06-08'
103 | note: '本次大赛，我们选择了具有独特的地理环境、气候条件以及人文特色的贵州省兴仁市作为研究区域，聚焦当地的特色优势产业和支柱产业——薏仁米产业， 以薏仁米作物识别以及产量预测为比赛命题，要求选手开发算法模型，通过无人机航拍的地面影像，探索作物分类的精准算法，识别薏仁米、玉米、烤烟三大作物类型，提升作物识别的准确度，降低对人工实地勘察的依赖，提升农业资产盘点效率，并结合产量标注数据预测当年的薏仁米产量，提升农业精准管理能力。'
104 | prize: ￥300000
105 |
106 |
107 | - id: NL2SQL2019
108 | type1:
109 | - PF
110 | type2:
111 | - NLP
112 | title: '首届中文NL2SQL挑战赛'
113 | url: https://tianchi.aliyun.com/competition/entrance/231716/introduction
114 | hostby:
115 | - 天池: 'https://tianchi.aliyun.com/'
116 | range: 6月24 - 9月, 2019
117 | deadtime: "2019-08-05 11:59:59"
118 | timezone: "Asia/Shanghai"
119 | pubtime: '2019-06-08'
120 | note: '首届中文NL2SQL挑战赛，使用金融以及通用领域的表格数据作为数据源，提供在此基础上标注的自然语言与SQL语句的匹配对，希望选手可以利用数据训练出可以准确转换自然语言到SQL的模型。'
121 | prize: ￥十五万
122 |
123 |
124 | - id: YOUKU2019
125 | type1:
126 | - PF
127 | type2:
128 | - CV
129 | title: '阿里巴巴优酷视频增强和超分辨率挑战赛'
130 | url: https://tianchi.aliyun.com/competition/entrance/231711/introduction?spm=5176.12281949.1003.1.493e4c2aaxG9Ek
131 | hostby:
132 | - 天池: 'https://tianchi.aliyun.com/'
133 | - YOUKU: https://www.youku.com
134 | range: April 11 - September, 2019
135 | deadtime: "2019-06-16 12:59:59"
136 | timezone: "Asia/Shanghai"
137 | pubtime: '2019-04-11'
138 | note: '比赛要求通过训练样本对视频增强和超分模型进行建模，对测试集中的低分辨率视频样本预测高分辨率视频。其中，高分辨率视频来自优酷高清媒资库，优酷拥有视频的知识产权。低分辨率视频的生成模型是模拟实际业务中的噪声模式。'
139 | prize: ￥230000
140 |
141 |
142 | - id: Future_Food_Challenge2019
143 | type1:
144 | - PF
145 | type2:
146 | - DM
147 | - NLP
148 | title: '2019 Future Food Challenge'
149 | url: https://tianchi.aliyun.com/competition/entrance/231705/introduction?spm=5176.12281949.0.0.7e9276d8mqVJ8x
150 | hostby:
151 | - 天池: 'https://tianchi.aliyun.com/'
152 | range: February 28 - June 2-4, 2019
153 | deadtime: "2019-04-10 08:59:59"
154 | timezone: "Asia/Shanghai"
155 | pubtime: '2019-02-28'
156 | note: 'Use the training data set to develop an unsupervised algorithm which identifies news items in the test set relating to the same food safety incident and assigns the same Event-ID to such group. '
157 | prize: USD $10,000
158 |
159 |
160 | - id: Gridlock_Prediction_Challenge
161 | type1:
162 | - PF
163 | type2:
164 | - DM
165 | title: Gridlock Prediction Challenge
166 | url: https://tianchi.aliyun.com/competition/entrance/231698/introduction?spm=5176.12281949.0.0.422976d8ArSxx6
167 | hostby:
168 | - 天池: 'https://tianchi.aliyun.com/'
169 | range: March 1-31, 2019
170 | deadtime: "2019-03-31 05:59:59"
171 | timezone: "Asia/Shanghai"
172 | pubtime: '2019-02-01'
173 | note: 'Task: To estimate the average travel time from designated intersections to tollgates'
174 | prize: iPhone/iPad/AirPods
175 |
176 |
177 | - id: IJCAI_19
178 | type1:
179 | - PF
180 | type2:
181 | - CV
182 | title: 'IJCAI-19 阿里巴巴人工智能对抗算法竞赛'
183 | url: https://tianchi.aliyun.com/competition/entrance/231701/introduction?spm=5176.12281949.0.0.422976d8ArSxx6
184 | hostby:
185 | - 天池: 'https://tianchi.aliyun.com/'
186 | range: 3月4日 - 6月10日, 2019
187 | deadtime: "2019-04-20 09:59:59"
188 | timezone: "Asia/Shanghai"
189 | pubtime: '2019-02-01'
190 | note: 'IJCAI-19 阿里巴巴人工智能对抗算法竞赛的目的是对AI模型的安全性进行探索。这个比赛主要针对图像分类任务，包括模型攻击与模型防御。参赛选手既可以作为攻击方，对图片进行轻微扰动生成对抗样本，使模型识别错误；也可以作为防御方，通过构建一个更加鲁棒的模型，准确识别对抗样本。'
191 | prize: USD 10,000
192 |
193 |
194 |
195 | - id: 'jinnaner'
196 | type1:
197 | - PF
198 | type2:
199 | - CV
200 | title: '津南数字制造算法挑战赛【赛场二】'
201 | url: 'https://tianchi.aliyun.com/competition/entrance/231703/introduction?spm=5176.12281949.0.0.21e376d869oWRl'
202 | hostby:
203 | - 天池: 'https://tianchi.aliyun.com/'
204 | range: 2月15日-5月16日, 2019
205 | deadtime: "2019-03-25 11:59:59"
206 | timezone: "Asia/Shanghai"
207 | pubtime: '2019-02-15'
208 | note: '2019津南数字制造算法挑战赛，赛场二以物流货物限制品监测为课题，要求选手针对给出的限制品种类，利用X光图像及标注数据，研究开发高效的计算机视觉算法，监测图像是否包含危险品及其大致位置。通过自动化监测包裹携带品算法，降低漏检风险及误报率，提升危险品管理效率。'
209 | prize: ￥300,000
210 |
211 |
212 |
213 | - id: quanqiuchengshijisuanaitiaozhansai
214 | type1:
215 | - PF
216 | type2:
217 | - DM
218 | title: '全球城市计算AI挑战赛'
219 | url: https://tianchi.aliyun.com/competition/entrance/231708/introduction?spm=5176.12281905.5490641.1.358b6badpKtnUN
220 | hostby:
221 | - 天池: 'https://tianchi.aliyun.com/'
222 | range: 3月19日 - 4月11日, 2019
223 | deadtime: "2019-03-30 11:59:59"
224 | timezone: "Asia/Shanghai"
225 | pubtime: '2019-03-21'
226 | note: '大赛以“地铁乘客流量预测”为赛题，参赛者可通过分析地铁站的历史刷卡数据，预测站点未来的客流量变化，帮助实现更合理的出行路线选择，规避交通堵塞，提前部署站点安保措施等，最终实现用大数据和人工智能等技术助力未来城市安全出行。'
227 | prize: ￥300000
228 |
--------------------------------------------------------------------------------
/_data/_effective_点石.yaml:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 | # 点石 ##
5 | # https://dianshi.baidu.com/competition/
6 |
7 | - id: Urban_Region_Function_Classification
8 | type1:
9 | - PF
10 | type2:
11 | - DM
12 | - CV
13 | title: 'Urban Region Function Classification'
14 | url: https://dianshi.baidu.com/competition/30/rule
15 | hostby:
16 | - 点石: https://dianshi.baidu.com/competition/
17 | range: April 30th - September, 2019
18 | deadtime: "2019-06-10 23:59:59"
19 | timezone: "Asia/Shanghai"
20 | pubtime: '2019-04-27'
21 | note: '2019 The 5th Baidu & XJTU Big Data Competition And The First IKCEST "One Belt One Road" International Big Data Competition.
22 | 玉米、大豆、水稻三种农作物区块和其他区块共四种区块 ，根据参赛团队对场景的识别准确度和时效性进行评分。'
59 | prize: 85000RMB
60 |
--------------------------------------------------------------------------------
/_data/readme:
--------------------------------------------------------------------------------
1 |
2 |
3 | - id 唯一编码，可随意指定，但建议根据 title 的内容书写。
4 | -（注意！不可数字开头）
5 |
6 | - type1 只有三个选项 PF，AC
7 | - type2 有五个选项 DM, CV, NLP, RL, SP
8 | -（可多选，但不可不选）
9 | - Note 中不可以有 & (如果编写的XML文件必须包含&字符，则必须分别写成&)
10 |
11 | - hostby 的内容必须指定
12 |
13 | - deadtime 日期请严格采用复合 ISO8601 格式的年、月、日、时、分、秒表示（我这里必须引号）。
14 | - （注意！deadtime 内容一定要双引号括起来，强制成 string，不然 pyyaml 读 yaml 会按照本地系统所在的 timezone 读入解析，无限期的就内容为'No deadline'）
15 | - （注意！deadtime 的 timezone 信息请另外标明！可选的 timezone 可见 ./timezone。）
16 | - （注意！对于没有 deadtime 的题目，内容必须指定为"No deadline"，才不会判断报错~）
17 |
18 | - pubtime 用来标记更新时间给 XML，请严格按照格式书写，否则会报错。 'xxxx-xx-xx'
19 |
20 | - note 的内容是可以直接上 html 标记语言的。
21 |
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/docs/static/bootstrap-4.2.1-dist/css/bootstrap-reboot.css:
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1 | /*!
2 | * Bootstrap Reboot v4.2.1 (https://getbootstrap.com/)
3 | * Copyright 2011-2018 The Bootstrap Authors
4 | * Copyright 2011-2018 Twitter, Inc.
5 | * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
6 | * Forked from Normalize.css, licensed MIT (https://github.com/necolas/normalize.css/blob/master/LICENSE.md)
7 | */
8 | *,
9 | *::before,
10 | *::after {
11 | box-sizing: border-box;
12 | }
13 |
14 | html {
15 | font-family: sans-serif;
16 | line-height: 1.15;
17 | -webkit-text-size-adjust: 100%;
18 | -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
19 | }
20 |
21 | article, aside, figcaption, figure, footer, header, hgroup, main, nav, section {
22 | display: block;
23 | }
24 |
25 | body {
26 | margin: 0;
27 | font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
28 | font-size: 1rem;
29 | font-weight: 400;
30 | line-height: 1.5;
31 | color: #212529;
32 | text-align: left;
33 | background-color: #fff;
34 | }
35 |
36 | [tabindex="-1"]:focus {
37 | outline: 0 !important;
38 | }
39 |
40 | hr {
41 | box-sizing: content-box;
42 | height: 0;
43 | overflow: visible;
44 | }
45 |
46 | h1, h2, h3, h4, h5, h6 {
47 | margin-top: 0;
48 | margin-bottom: 0.5rem;
49 | }
50 |
51 | p {
52 | margin-top: 0;
53 | margin-bottom: 1rem;
54 | }
55 |
56 | abbr[title],
57 | abbr[data-original-title] {
58 | text-decoration: underline;
59 | -webkit-text-decoration: underline dotted;
60 | text-decoration: underline dotted;
61 | cursor: help;
62 | border-bottom: 0;
63 | text-decoration-skip-ink: none;
64 | }
65 |
66 | address {
67 | margin-bottom: 1rem;
68 | font-style: normal;
69 | line-height: inherit;
70 | }
71 |
72 | ol,
73 | ul,
74 | dl {
75 | margin-top: 0;
76 | margin-bottom: 1rem;
77 | }
78 |
79 | ol ol,
80 | ul ul,
81 | ol ul,
82 | ul ol {
83 | margin-bottom: 0;
84 | }
85 |
86 | dt {
87 | font-weight: 700;
88 | }
89 |
90 | dd {
91 | margin-bottom: .5rem;
92 | margin-left: 0;
93 | }
94 |
95 | blockquote {
96 | margin: 0 0 1rem;
97 | }
98 |
99 | b,
100 | strong {
101 | font-weight: bolder;
102 | }
103 |
104 | small {
105 | font-size: 80%;
106 | }
107 |
108 | sub,
109 | sup {
110 | position: relative;
111 | font-size: 75%;
112 | line-height: 0;
113 | vertical-align: baseline;
114 | }
115 |
116 | sub {
117 | bottom: -.25em;
118 | }
119 |
120 | sup {
121 | top: -.5em;
122 | }
123 |
124 | a {
125 | color: #007bff;
126 | text-decoration: none;
127 | background-color: transparent;
128 | }
129 |
130 | a:hover {
131 | color: #0056b3;
132 | text-decoration: underline;
133 | }
134 |
135 | a:not([href]):not([tabindex]) {
136 | color: inherit;
137 | text-decoration: none;
138 | }
139 |
140 | a:not([href]):not([tabindex]):hover, a:not([href]):not([tabindex]):focus {
141 | color: inherit;
142 | text-decoration: none;
143 | }
144 |
145 | a:not([href]):not([tabindex]):focus {
146 | outline: 0;
147 | }
148 |
149 | pre,
150 | code,
151 | kbd,
152 | samp {
153 | font-family: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
154 | font-size: 1em;
155 | }
156 |
157 | pre {
158 | margin-top: 0;
159 | margin-bottom: 1rem;
160 | overflow: auto;
161 | }
162 |
163 | figure {
164 | margin: 0 0 1rem;
165 | }
166 |
167 | img {
168 | vertical-align: middle;
169 | border-style: none;
170 | }
171 |
172 | svg {
173 | overflow: hidden;
174 | vertical-align: middle;
175 | }
176 |
177 | table {
178 | border-collapse: collapse;
179 | }
180 |
181 | caption {
182 | padding-top: 0.75rem;
183 | padding-bottom: 0.75rem;
184 | color: #6c757d;
185 | text-align: left;
186 | caption-side: bottom;
187 | }
188 |
189 | th {
190 | text-align: inherit;
191 | }
192 |
193 | label {
194 | display: inline-block;
195 | margin-bottom: 0.5rem;
196 | }
197 |
198 | button {
199 | border-radius: 0;
200 | }
201 |
202 | button:focus {
203 | outline: 1px dotted;
204 | outline: 5px auto -webkit-focus-ring-color;
205 | }
206 |
207 | input,
208 | button,
209 | select,
210 | optgroup,
211 | textarea {
212 | margin: 0;
213 | font-family: inherit;
214 | font-size: inherit;
215 | line-height: inherit;
216 | }
217 |
218 | button,
219 | input {
220 | overflow: visible;
221 | }
222 |
223 | button,
224 | select {
225 | text-transform: none;
226 | }
227 |
228 | button,
229 | [type="button"],
230 | [type="reset"],
231 | [type="submit"] {
232 | -webkit-appearance: button;
233 | }
234 |
235 | button::-moz-focus-inner,
236 | [type="button"]::-moz-focus-inner,
237 | [type="reset"]::-moz-focus-inner,
238 | [type="submit"]::-moz-focus-inner {
239 | padding: 0;
240 | border-style: none;
241 | }
242 |
243 | input[type="radio"],
244 | input[type="checkbox"] {
245 | box-sizing: border-box;
246 | padding: 0;
247 | }
248 |
249 | input[type="date"],
250 | input[type="time"],
251 | input[type="datetime-local"],
252 | input[type="month"] {
253 | -webkit-appearance: listbox;
254 | }
255 |
256 | textarea {
257 | overflow: auto;
258 | resize: vertical;
259 | }
260 |
261 | fieldset {
262 | min-width: 0;
263 | padding: 0;
264 | margin: 0;
265 | border: 0;
266 | }
267 |
268 | legend {
269 | display: block;
270 | width: 100%;
271 | max-width: 100%;
272 | padding: 0;
273 | margin-bottom: .5rem;
274 | font-size: 1.5rem;
275 | line-height: inherit;
276 | color: inherit;
277 | white-space: normal;
278 | }
279 |
280 | progress {
281 | vertical-align: baseline;
282 | }
283 |
284 | [type="number"]::-webkit-inner-spin-button,
285 | [type="number"]::-webkit-outer-spin-button {
286 | height: auto;
287 | }
288 |
289 | [type="search"] {
290 | outline-offset: -2px;
291 | -webkit-appearance: none;
292 | }
293 |
294 | [type="search"]::-webkit-search-decoration {
295 | -webkit-appearance: none;
296 | }
297 |
298 | ::-webkit-file-upload-button {
299 | font: inherit;
300 | -webkit-appearance: button;
301 | }
302 |
303 | output {
304 | display: inline-block;
305 | }
306 |
307 | summary {
308 | display: list-item;
309 | cursor: pointer;
310 | }
311 |
312 | template {
313 | display: none;
314 | }
315 |
316 | [hidden] {
317 | display: none !important;
318 | }
319 | /*# sourceMappingURL=bootstrap-reboot.css.map */
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/docs/static/bootstrap-4.2.1-dist/css/bootstrap-reboot.min.css:
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1 | /*!
2 | * Bootstrap Reboot v4.2.1 (https://getbootstrap.com/)
3 | * Copyright 2011-2018 The Bootstrap Authors
4 | * Copyright 2011-2018 Twitter, Inc.
5 | * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
6 | * Forked from Normalize.css, licensed MIT (https://github.com/necolas/normalize.css/blob/master/LICENSE.md)
7 | */*,::after,::before{box-sizing:border-box}html{font-family:sans-serif;line-height:1.15;-webkit-text-size-adjust:100%;-webkit-tap-highlight-color:transparent}article,aside,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}body{margin:0;font-family:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"Helvetica Neue",Arial,"Noto Sans",sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";font-size:1rem;font-weight:400;line-height:1.5;color:#212529;text-align:left;background-color:#fff}[tabindex="-1"]:focus{outline:0!important}hr{box-sizing:content-box;height:0;overflow:visible}h1,h2,h3,h4,h5,h6{margin-top:0;margin-bottom:.5rem}p{margin-top:0;margin-bottom:1rem}abbr[data-original-title],abbr[title]{text-decoration:underline;-webkit-text-decoration:underline dotted;text-decoration:underline dotted;cursor:help;border-bottom:0;text-decoration-skip-ink:none}address{margin-bottom:1rem;font-style:normal;line-height:inherit}dl,ol,ul{margin-top:0;margin-bottom:1rem}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 1rem}b,strong{font-weight:bolder}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}a{color:#007bff;text-decoration:none;background-color:transparent}a:hover{color:#0056b3;text-decoration:underline}a:not([href]):not([tabindex]){color:inherit;text-decoration:none}a:not([href]):not([tabindex]):focus,a:not([href]):not([tabindex]):hover{color:inherit;text-decoration:none}a:not([href]):not([tabindex]):focus{outline:0}code,kbd,pre,samp{font-family:SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier New",monospace;font-size:1em}pre{margin-top:0;margin-bottom:1rem;overflow:auto}figure{margin:0 0 1rem}img{vertical-align:middle;border-style:none}svg{overflow:hidden;vertical-align:middle}table{border-collapse:collapse}caption{padding-top:.75rem;padding-bottom:.75rem;color:#6c757d;text-align:left;caption-side:bottom}th{text-align:inherit}label{display:inline-block;margin-bottom:.5rem}button{border-radius:0}button:focus{outline:1px dotted;outline:5px auto -webkit-focus-ring-color}button,input,optgroup,select,textarea{margin:0;font-family:inherit;font-size:inherit;line-height:inherit}button,input{overflow:visible}button,select{text-transform:none}[type=button],[type=reset],[type=submit],button{-webkit-appearance:button}[type=button]::-moz-focus-inner,[type=reset]::-moz-focus-inner,[type=submit]::-moz-focus-inner,button::-moz-focus-inner{padding:0;border-style:none}input[type=checkbox],input[type=radio]{box-sizing:border-box;padding:0}input[type=date],input[type=datetime-local],input[type=month],input[type=time]{-webkit-appearance:listbox}textarea{overflow:auto;resize:vertical}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;max-width:100%;padding:0;margin-bottom:.5rem;font-size:1.5rem;line-height:inherit;color:inherit;white-space:normal}progress{vertical-align:baseline}[type=number]::-webkit-inner-spin-button,[type=number]::-webkit-outer-spin-button{height:auto}[type=search]{outline-offset:-2px;-webkit-appearance:none}[type=search]::-webkit-search-decoration{-webkit-appearance:none}::-webkit-file-upload-button{font:inherit;-webkit-appearance:button}output{display:inline-block}summary{display:list-item;cursor:pointer}template{display:none}[hidden]{display:none!important}
8 | /*# sourceMappingURL=bootstrap-reboot.min.css.map */
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1 | body {
2 | font-size: 16px;
3 | line-height: 23px;
4 | font-weight: 300;
5 | /* color: #333; */
6 | }
7 |
8 | body *::selection {
9 | background: #e74c3c;
10 | color: #fff;
11 | }
12 |
13 | .container {
14 | max-width: 980px;
15 | }
16 |
17 | .top-strip {
18 | background-color: #333;
19 | height: 0.25em;
20 | width: 100%;
21 | }
22 |
23 | h1,h2,h3 {
24 | /* font-weight: 300; */
25 | }
26 |
27 | h1 {
28 | margin: 0 0 10px;
29 | font-size: 30px;
30 | line-height: 35px;
31 | }
32 |
33 | h2 {
34 | margin: 0 0 10px;
35 | font-size: 25px;
36 | line-height: 30px;
37 | }
38 |
39 | h3 {
40 | margin: 0;
41 | font-size: 20px;
42 | line-height: 25px;
43 | }
44 |
45 | .page-header {
46 | margin-top: 20px;
47 | }
48 |
49 | #conf-title.page-header {
50 | border-bottom: none;
51 | }
52 |
53 | p.authors {
54 | margin-bottom: 5px;
55 | color: #808080;
56 | font-size: 20px;
57 | }
58 |
59 | p.authors a {
60 | border-color: #dedede;
61 | }
62 |
63 | img {
64 | max-width: 100%;
65 | }
66 |
67 | p {
68 | text-align: justify;
69 | }
70 |
71 | a {
72 | text-decoration: none;
73 | border-bottom: 1px solid #ccc;
74 | color: inherit;
75 | }
76 |
77 | p.lead.authors a {
78 | border-bottom: none;
79 | }
80 |
81 | a:hover, a:focus {
82 | color: inherit;
83 | text-decoration: none;
84 | }
85 |
86 | .thumb {
87 | margin: 20px 0;
88 | border: 1px solid #808080;
89 | }
90 |
91 | pre {
92 | color: #333;
93 | font-size: 12px;
94 | line-height: 17px;
95 | }
96 |
97 | footer {
98 | font-size: 13px;
99 | }
100 |
101 | .past {
102 | opacity: 0.5;
103 | }
104 |
105 | .deadline, .meta {
106 | font-size: 13px;
107 | }
108 |
109 | .note {
110 | font-size: 13px;
111 | margin-bottom: 5px;
112 | }
113 |
114 | .timer {
115 | font-size: 20px;
116 | }
117 |
118 | #conf-timer {
119 | font-size: 72px;
120 | color: #444;
121 | }
122 |
123 | @media only screen and (max-width: 780px) {
124 | #conf-timer {
125 | font-size: 64px;
126 | }
127 | }
128 |
129 | @media only screen and (max-width: 450px) {
130 | #conf-timer {
131 | font-size: 36px;
132 | }
133 | }
134 |
135 | @media only screen and (max-width: 375px) {
136 | #conf-timer {
137 | font-size: 28px;
138 | }
139 | }
140 |
141 | .checkbox {
142 | font-size: 12px;
143 | }
144 |
145 | .calendar {
146 | font-size: 12px;
147 | margin-bottom: -5px;
148 | }
149 |
150 | .calendar img {
151 | margin-right: 5px;
152 | }
153 |
154 | .ind-cal {
155 | margin: 0 5px;
156 | }
157 |
158 | .calendar img {
159 | height: 20px;
160 | }
161 |
162 |
163 |
164 |
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1 | /*!
2 | * The Final Countdown for jQuery v2.2.0 (http://hilios.github.io/jQuery.countdown/)
3 | * Copyright (c) 2016 Edson Hilios
4 | *
5 | * Permission is hereby granted, free of charge, to any person obtaining a copy of
6 | * this software and associated documentation files (the "Software"), to deal in
7 | * the Software without restriction, including without limitation the rights to
8 | * use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
9 | * the Software, and to permit persons to whom the Software is furnished to do so,
10 | * subject to the following conditions:
11 | *
12 | * The above copyright notice and this permission notice shall be included in all
13 | * copies or substantial portions of the Software.
14 | *
15 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
17 | * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
18 | * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
19 | * IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
20 | * CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
21 | */
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1 | !function(e){var o=function(e){return e.toISOString().replace(/-|:|\.\d+/g,"")},t=function(e){return e.end?o(e.end):o(new Date(e.start.getTime()+6e4*e.duration))},n={google:function(e){var n=o(e.start),i=t(e);return'Google '},yahoo:function(e){var t=e.end?(e.end.getTime()-e.start.getTime())/6e4:e.duration,n=(t<600?"0"+Math.floor(t/60):Math.floor(t/60)+"")+(t%60<10?"0"+t%60:t%60+""),i=o(new Date(e.start-6e4*e.start.getTimezoneOffset()))||"";return'Yahoo! 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1 | /* Copyright (c) 2010-2016 Marcus Westin */
2 | (function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}g.store = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;odocument.w=window'),u.close(),c=u.w.frames[0].document,t=c.createElement("div")}catch(l){t=i.createElement("div"),c=i.body}var f=function(e){return function(){var n=Array.prototype.slice.call(arguments,0);n.unshift(t),c.appendChild(t),t.addBehavior("#default#userData"),t.load(o);var i=e.apply(r,n);return c.removeChild(t),i}},d=new RegExp("[!\"#$%&'()*+,/\\\\:;<=>?@[\\]^`{|}~]","g"),s=function(e){return e.replace(/^d/,"___$&").replace(d,"___")};r.set=f(function(e,t,n){return t=s(t),void 0===n?r.remove(t):(e.setAttribute(t,r.serialize(n)),e.save(o),n)}),r.get=f(function(e,t,n){t=s(t);var i=r.deserialize(e.getAttribute(t));return void 0===i?n:i}),r.remove=f(function(e,t){t=s(t),e.removeAttribute(t),e.save(o)}),r.clear=f(function(e){var t=e.XMLDocument.documentElement.attributes;e.load(o);for(var r=t.length-1;r>=0;r--)e.removeAttribute(t[r].name);e.save(o)}),r.getAll=function(e){var t={};return r.forEach(function(e,r){t[e]=r}),t},r.forEach=f(function(e,t){for(var n,i=e.XMLDocument.documentElement.attributes,o=0;n=i[o];++o)t(n.name,r.deserialize(e.getAttribute(n.name)))})}try{var v="__storejs__";r.set(v,v),r.get(v)!=v&&(r.disabled=!0),r.remove(v)}catch(l){r.disabled=!0}return r.enabled=!r.disabled,r}();
5 | }).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
6 | },{}]},{},[1])(1)
7 | });
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/environment.yml:
--------------------------------------------------------------------------------
1 | name: mne
2 | channels:
3 | - defaults
4 | dependencies:
5 | - python>=3.6
6 | - pip
7 | - mkl
8 | - numpy
9 | - scipy
10 | - matplotlib
11 | - pyqt>=5.9
12 | - vtk>=8
13 | - pandas
14 | - scikit-learn
15 | - h5py
16 | - pillow
17 | - statsmodels
18 | - jupyter
19 | - nose
20 | - pytest
21 | - pytest-cov
22 | - sphinx
23 | - joblib
24 | - psutil
25 | - numpydoc
26 | - flake8
27 | - spyder
28 | - numexpr
29 | - pip:
30 | - mne
31 | - "https://api.github.com/repos/enthought/traits/zipball/a99b3f64d50c5f7f28ffc01bf69419b061f9e976"
32 | - "https://api.github.com/repos/enthought/pyface/zipball/6a0cac149d56293482bb828a7d98122667c773be"
33 | - "https://api.github.com/repos/enthought/traitsui/zipball/e366ad3886d3c39bedb96e83bab447d31c4ab725"
34 | - "https://api.github.com/repos/enthought/mayavi/zipball/master"
35 | - "https://api.github.com/repos/nipy/PySurfer/zipball/master"
36 | - nitime
37 | - nibabel
38 | - nilearn
39 | - neo
40 | - pytest-sugar
41 | - pytest-faulthandler
42 | - pydocstyle
43 | - sphinx_bootstrap_theme
44 | - "https://api.github.com/repos/sphinx-gallery/sphinx-gallery/zipball/master"
45 | - python-picard
46 |
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/favicon.ico:
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https://raw.githubusercontent.com/iphysresearch/DataSciComp/f9bbbdcabb7cfc99f34d03fc86ea6a3c04fc725d/favicon.ico
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/run.py:
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1 | from flask import Flask, render_template, redirect, Response
2 | from flask_frozen import Freezer
3 |
4 | import os, sys, yaml, pytz, time, datetime, heapq # 堆队列
5 | import numpy as np
6 | import click
7 |
8 | add_datas = [
9 | "./_data/_effective_kaggle.yaml",
10 | "./_data/_effective_drivendata.yaml",
11 | "./_data/_effective_codalab.yaml",
12 | "./_data/_effective_challengedata.yaml",
13 | "./_data/_effective_crowdai.yaml",
14 | "./_data/_effective_aicrowd.yaml",
15 | "./_data/_effective_signate.yaml",
16 | "./_data/_effective_crowdanalytix.yaml",
17 | "./_data/_effective_unearthed.yaml",
18 | "./_data/_effective_analyticsvidhya.yaml",
19 | "./_data/_effective_GECCO.yaml",
20 | "./_data/_effective_grand_challenge.yaml",
21 | "./_data/_effective_herox.yaml",
22 | "./_data/_effective_ICDAR.yaml",
23 | "./_data/_effective_kelvins.yaml",
24 | "./_data/_effective_天池.yaml",
25 | "./_data/_effective_iQIYI.yaml",
26 | "./_data/_effective_FUTURELAB_AI.yaml",
27 | "./_data/_effective_点石.yaml",
28 | "./_data/_effective_kesci.yaml",
29 | "./_data/_effective_dcjingsai.yaml",
30 | "./_data/_effective_datafountain.yaml",
31 | "./_data/_effective_biendata.yaml",
32 | "./_data/_effective_ICME.yaml",
33 | "./_data/_effective_NeurIPS.yaml",
34 | "./_data/_effective_EvalAI.yaml",
35 | "./_data/_effective_FlyAI.yaml",
36 | "./_data/_effective_tinymind.yaml",
37 | "./_data/_effective_MagicMirror.yaml",
38 | "./_data/_effective_baiduAIstudio.yaml",
39 | "./_data/_effective_others.yaml",
40 | ]
41 |
42 | competitions = []
43 | for add_data in add_datas:
44 | with open(add_data, "r", encoding="utf-8") as f:
45 | cfg = f.read()
46 | competitions.extend(yaml.load(cfg))
47 | competitions = [
48 | c
49 | for c in competitions
50 | if c["deadtime"] > datetime.date.today().strftime("%Y-%m-%d")
51 | ]
52 | competitions.sort(key=lambda x: x["deadtime"])
53 |
54 | # Find CVPR competitions
55 | # CVPR_comps = [comp for comp in competitions if 'CVPR' in [ 'CVPR' for l in comp['hostby'] if 'CVPR' in [ 'CVPR' for key in l.keys() if 'CVPR' in key ] ] ]
56 |
57 | app = Flask(__name__)
58 |
59 |
60 | app.config["FREEZER_DESTINATION"] = "docs"
61 | # https://stackoverflow.com/questions/11577147/how-to-fix-page-404-on-github-page
62 | app.config["FREEZER_DESTINATION_IGNORE"] = [".git*", "CNAME", "favicon.ico"]
63 |
64 | freezer = Freezer(app)
65 |
66 | id_type_checkboxs = [
67 | {"id": "PF-checkbox", "name": "Platform"}
68 | # ,{'id': 'IT-checkbox', 'name': 'Industry'}
69 | ,
70 | {"id": "AC-checkbox", "name": "Academia"},
71 | ]
72 |
73 | id_type2_checkboxs = [
74 | {"id": "DM-checkbox", "name": "Data Mining"},
75 | {"id": "CV-checkbox", "name": "Computer Vision"},
76 | {"id": "NLP-checkbox", "name": "Natural Language Processing"},
77 | {"id": "RL-checkbox", "name": "Reinforcement Learning/Robotics"},
78 | {"id": "SP-checkbox", "name": "Speech/Signal Proccessing"},
79 | ]
80 |
81 |
82 | @app.route("/")
83 | def index(
84 | id_type_checkboxs=id_type_checkboxs,
85 | id_type2_checkboxs=id_type2_checkboxs,
86 | competitions=competitions,
87 | ):
88 | # 保证每个 comp 的 type 键的值是 list 类型
89 | [
90 | comp.update({"type1": [comp["type1"]]})
91 | for comp in competitions
92 | if not isinstance(comp["type1"], list)
93 | ]
94 | [
95 | comp.update({"type2": [comp["type2"]]})
96 | for comp in competitions
97 | if not isinstance(comp["type2"], list)
98 | ]
99 | # 判断 prize
100 | for comp in competitions:
101 | if (comp["prize"] == "NaN") or (comp["prize"] == "Kaggle Swag"):
102 | comp.update({"howprize": ["unrewarded"]})
103 | else:
104 | comp.update({"howprize": ["rewarded"]})
105 | # [ comp.update({'howprize': ['unrewarded']}) for comp in competitions if comp['prize'] == 'NaN']
106 | # [ comp.update({'howprize': ['rewarded']}) for comp in competitions if comp['prize'] ~= 'NaN']
107 | return render_template(
108 | "index.html",
109 | id_type_checkboxs=id_type_checkboxs,
110 | id_type2_checkboxs=id_type2_checkboxs,
111 | competitions=competitions,
112 | )
113 |
114 |
115 | with open("./_data/_hosts.yaml", "r", encoding="utf-8") as f:
116 | cfg = f.read()
117 | hosts = yaml.load(cfg)
118 |
119 |
120 | @app.route("/hostby.html")
121 | def hostby(id_type_checkboxs=id_type_checkboxs, hosts=hosts):
122 | return render_template(
123 | "hostby.html", id_type_checkboxs=id_type_checkboxs, hosts=hosts
124 | )
125 |
126 |
127 | # @app.route('/rss.xml')
128 | # def log(competitions = competitions):
129 | # num_largest = 2
130 | # comps_pubtime = np.array([ int(i['pubtime'].replace('-', '')) for i in competitions ])
131 | # index_largest = [ np.where(comps_pubtime == largest_value)[0].tolist() for largest_value in heapq.nlargest(num_largest, np.unique(comps_pubtime)) ]
132 | # competitions = [ (competitions[largest_index], block_time) for block_time, largest_time in enumerate(index_largest) for largest_index in largest_time]
133 |
134 | # [ comp.update({'pubtime': datetime.datetime.fromtimestamp(int(datetime.datetime.strptime(comp['pubtime'], '%Y-%m-%d').timestamp()), pytz.timezone('Asia/Shanghai')).strftime("%a, %d %b %Y") }) for comp, _ in competitions ]
135 |
136 | # return render_template('rss.xml', competitions=competitions)
137 |
138 |
139 | @app.route("/update_log.xml")
140 | def products_xml(competitions=competitions):
141 | num_largest = 2
142 | comps_pubtime = np.array([int(i["pubtime"].replace("-", "")) for i in competitions])
143 | time_largest = heapq.nlargest(num_largest, np.unique(comps_pubtime))
144 | index_largest = [
145 | np.where(comps_pubtime == largest_value)[0].tolist()
146 | for largest_value in time_largest
147 | ]
148 | competitions = [
149 | (competitions[largest_index], block_time)
150 | for block_time, largest_time in enumerate(index_largest)
151 | for largest_index in largest_time
152 | ]
153 |
154 | [
155 | comp.update(
156 | {
157 | "pubtime": datetime.datetime.fromtimestamp(
158 | int(
159 | datetime.datetime.strptime(
160 | comp["pubtime"], "%Y-%m-%d"
161 | ).timestamp()
162 | ),
163 | pytz.timezone("Asia/Shanghai"),
164 | ).strftime("%a, %d %b %Y")
165 | }
166 | )
167 | for comp, _ in competitions
168 | ]
169 |
170 | output = ''
171 | output += ''
172 | output += ""
173 | output += "Data Science Challenge / Competition "
174 | output += "Latest update at {} (GMT+0800). ".format(
188 | update_block[0]
189 | )
190 |
191 | for comp, _ in competitions:
192 | output += "- "
193 | output += "
{:s} ".format(comp["title"])
194 | output += "{:s} ".format("/".join(comp["type1"]))
196 | output += "{:s} ".format("/".join(comp["type2"]))
197 | output += "{:s} ".format(comp["pubtime"])
198 | output += "{:s} ".format(
199 | comp["note"].replace(" "
202 | output += " "
203 | output += " "
204 | return Response(output, mimetype="application/xml")
205 |
206 |
207 | if __name__ == "__main__":
208 | # freezer.freeze()
209 | freezer.run(debug=True)
210 |
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/static/.DS_Store:
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https://raw.githubusercontent.com/iphysresearch/DataSciComp/f9bbbdcabb7cfc99f34d03fc86ea6a3c04fc725d/static/.DS_Store
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/static/bootstrap-4.2.1-dist/.DS_Store:
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https://raw.githubusercontent.com/iphysresearch/DataSciComp/f9bbbdcabb7cfc99f34d03fc86ea6a3c04fc725d/static/bootstrap-4.2.1-dist/.DS_Store
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/static/bootstrap-4.2.1-dist/css/bootstrap-reboot.css:
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1 | /*!
2 | * Bootstrap Reboot v4.2.1 (https://getbootstrap.com/)
3 | * Copyright 2011-2018 The Bootstrap Authors
4 | * Copyright 2011-2018 Twitter, Inc.
5 | * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
6 | * Forked from Normalize.css, licensed MIT (https://github.com/necolas/normalize.css/blob/master/LICENSE.md)
7 | */
8 | *,
9 | *::before,
10 | *::after {
11 | box-sizing: border-box;
12 | }
13 |
14 | html {
15 | font-family: sans-serif;
16 | line-height: 1.15;
17 | -webkit-text-size-adjust: 100%;
18 | -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
19 | }
20 |
21 | article, aside, figcaption, figure, footer, header, hgroup, main, nav, section {
22 | display: block;
23 | }
24 |
25 | body {
26 | margin: 0;
27 | font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
28 | font-size: 1rem;
29 | font-weight: 400;
30 | line-height: 1.5;
31 | color: #212529;
32 | text-align: left;
33 | background-color: #fff;
34 | }
35 |
36 | [tabindex="-1"]:focus {
37 | outline: 0 !important;
38 | }
39 |
40 | hr {
41 | box-sizing: content-box;
42 | height: 0;
43 | overflow: visible;
44 | }
45 |
46 | h1, h2, h3, h4, h5, h6 {
47 | margin-top: 0;
48 | margin-bottom: 0.5rem;
49 | }
50 |
51 | p {
52 | margin-top: 0;
53 | margin-bottom: 1rem;
54 | }
55 |
56 | abbr[title],
57 | abbr[data-original-title] {
58 | text-decoration: underline;
59 | -webkit-text-decoration: underline dotted;
60 | text-decoration: underline dotted;
61 | cursor: help;
62 | border-bottom: 0;
63 | text-decoration-skip-ink: none;
64 | }
65 |
66 | address {
67 | margin-bottom: 1rem;
68 | font-style: normal;
69 | line-height: inherit;
70 | }
71 |
72 | ol,
73 | ul,
74 | dl {
75 | margin-top: 0;
76 | margin-bottom: 1rem;
77 | }
78 |
79 | ol ol,
80 | ul ul,
81 | ol ul,
82 | ul ol {
83 | margin-bottom: 0;
84 | }
85 |
86 | dt {
87 | font-weight: 700;
88 | }
89 |
90 | dd {
91 | margin-bottom: .5rem;
92 | margin-left: 0;
93 | }
94 |
95 | blockquote {
96 | margin: 0 0 1rem;
97 | }
98 |
99 | b,
100 | strong {
101 | font-weight: bolder;
102 | }
103 |
104 | small {
105 | font-size: 80%;
106 | }
107 |
108 | sub,
109 | sup {
110 | position: relative;
111 | font-size: 75%;
112 | line-height: 0;
113 | vertical-align: baseline;
114 | }
115 |
116 | sub {
117 | bottom: -.25em;
118 | }
119 |
120 | sup {
121 | top: -.5em;
122 | }
123 |
124 | a {
125 | color: #007bff;
126 | text-decoration: none;
127 | background-color: transparent;
128 | }
129 |
130 | a:hover {
131 | color: #0056b3;
132 | text-decoration: underline;
133 | }
134 |
135 | a:not([href]):not([tabindex]) {
136 | color: inherit;
137 | text-decoration: none;
138 | }
139 |
140 | a:not([href]):not([tabindex]):hover, a:not([href]):not([tabindex]):focus {
141 | color: inherit;
142 | text-decoration: none;
143 | }
144 |
145 | a:not([href]):not([tabindex]):focus {
146 | outline: 0;
147 | }
148 |
149 | pre,
150 | code,
151 | kbd,
152 | samp {
153 | font-family: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
154 | font-size: 1em;
155 | }
156 |
157 | pre {
158 | margin-top: 0;
159 | margin-bottom: 1rem;
160 | overflow: auto;
161 | }
162 |
163 | figure {
164 | margin: 0 0 1rem;
165 | }
166 |
167 | img {
168 | vertical-align: middle;
169 | border-style: none;
170 | }
171 |
172 | svg {
173 | overflow: hidden;
174 | vertical-align: middle;
175 | }
176 |
177 | table {
178 | border-collapse: collapse;
179 | }
180 |
181 | caption {
182 | padding-top: 0.75rem;
183 | padding-bottom: 0.75rem;
184 | color: #6c757d;
185 | text-align: left;
186 | caption-side: bottom;
187 | }
188 |
189 | th {
190 | text-align: inherit;
191 | }
192 |
193 | label {
194 | display: inline-block;
195 | margin-bottom: 0.5rem;
196 | }
197 |
198 | button {
199 | border-radius: 0;
200 | }
201 |
202 | button:focus {
203 | outline: 1px dotted;
204 | outline: 5px auto -webkit-focus-ring-color;
205 | }
206 |
207 | input,
208 | button,
209 | select,
210 | optgroup,
211 | textarea {
212 | margin: 0;
213 | font-family: inherit;
214 | font-size: inherit;
215 | line-height: inherit;
216 | }
217 |
218 | button,
219 | input {
220 | overflow: visible;
221 | }
222 |
223 | button,
224 | select {
225 | text-transform: none;
226 | }
227 |
228 | button,
229 | [type="button"],
230 | [type="reset"],
231 | [type="submit"] {
232 | -webkit-appearance: button;
233 | }
234 |
235 | button::-moz-focus-inner,
236 | [type="button"]::-moz-focus-inner,
237 | [type="reset"]::-moz-focus-inner,
238 | [type="submit"]::-moz-focus-inner {
239 | padding: 0;
240 | border-style: none;
241 | }
242 |
243 | input[type="radio"],
244 | input[type="checkbox"] {
245 | box-sizing: border-box;
246 | padding: 0;
247 | }
248 |
249 | input[type="date"],
250 | input[type="time"],
251 | input[type="datetime-local"],
252 | input[type="month"] {
253 | -webkit-appearance: listbox;
254 | }
255 |
256 | textarea {
257 | overflow: auto;
258 | resize: vertical;
259 | }
260 |
261 | fieldset {
262 | min-width: 0;
263 | padding: 0;
264 | margin: 0;
265 | border: 0;
266 | }
267 |
268 | legend {
269 | display: block;
270 | width: 100%;
271 | max-width: 100%;
272 | padding: 0;
273 | margin-bottom: .5rem;
274 | font-size: 1.5rem;
275 | line-height: inherit;
276 | color: inherit;
277 | white-space: normal;
278 | }
279 |
280 | progress {
281 | vertical-align: baseline;
282 | }
283 |
284 | [type="number"]::-webkit-inner-spin-button,
285 | [type="number"]::-webkit-outer-spin-button {
286 | height: auto;
287 | }
288 |
289 | [type="search"] {
290 | outline-offset: -2px;
291 | -webkit-appearance: none;
292 | }
293 |
294 | [type="search"]::-webkit-search-decoration {
295 | -webkit-appearance: none;
296 | }
297 |
298 | ::-webkit-file-upload-button {
299 | font: inherit;
300 | -webkit-appearance: button;
301 | }
302 |
303 | output {
304 | display: inline-block;
305 | }
306 |
307 | summary {
308 | display: list-item;
309 | cursor: pointer;
310 | }
311 |
312 | template {
313 | display: none;
314 | }
315 |
316 | [hidden] {
317 | display: none !important;
318 | }
319 | /*# sourceMappingURL=bootstrap-reboot.css.map */
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/static/bootstrap-4.2.1-dist/css/bootstrap-reboot.min.css:
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1 | /*!
2 | * Bootstrap Reboot v4.2.1 (https://getbootstrap.com/)
3 | * Copyright 2011-2018 The Bootstrap Authors
4 | * Copyright 2011-2018 Twitter, Inc.
5 | * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
6 | * Forked from Normalize.css, licensed MIT (https://github.com/necolas/normalize.css/blob/master/LICENSE.md)
7 | */*,::after,::before{box-sizing:border-box}html{font-family:sans-serif;line-height:1.15;-webkit-text-size-adjust:100%;-webkit-tap-highlight-color:transparent}article,aside,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}body{margin:0;font-family:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"Helvetica Neue",Arial,"Noto Sans",sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";font-size:1rem;font-weight:400;line-height:1.5;color:#212529;text-align:left;background-color:#fff}[tabindex="-1"]:focus{outline:0!important}hr{box-sizing:content-box;height:0;overflow:visible}h1,h2,h3,h4,h5,h6{margin-top:0;margin-bottom:.5rem}p{margin-top:0;margin-bottom:1rem}abbr[data-original-title],abbr[title]{text-decoration:underline;-webkit-text-decoration:underline dotted;text-decoration:underline dotted;cursor:help;border-bottom:0;text-decoration-skip-ink:none}address{margin-bottom:1rem;font-style:normal;line-height:inherit}dl,ol,ul{margin-top:0;margin-bottom:1rem}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 1rem}b,strong{font-weight:bolder}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}a{color:#007bff;text-decoration:none;background-color:transparent}a:hover{color:#0056b3;text-decoration:underline}a:not([href]):not([tabindex]){color:inherit;text-decoration:none}a:not([href]):not([tabindex]):focus,a:not([href]):not([tabindex]):hover{color:inherit;text-decoration:none}a:not([href]):not([tabindex]):focus{outline:0}code,kbd,pre,samp{font-family:SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier New",monospace;font-size:1em}pre{margin-top:0;margin-bottom:1rem;overflow:auto}figure{margin:0 0 1rem}img{vertical-align:middle;border-style:none}svg{overflow:hidden;vertical-align:middle}table{border-collapse:collapse}caption{padding-top:.75rem;padding-bottom:.75rem;color:#6c757d;text-align:left;caption-side:bottom}th{text-align:inherit}label{display:inline-block;margin-bottom:.5rem}button{border-radius:0}button:focus{outline:1px dotted;outline:5px auto -webkit-focus-ring-color}button,input,optgroup,select,textarea{margin:0;font-family:inherit;font-size:inherit;line-height:inherit}button,input{overflow:visible}button,select{text-transform:none}[type=button],[type=reset],[type=submit],button{-webkit-appearance:button}[type=button]::-moz-focus-inner,[type=reset]::-moz-focus-inner,[type=submit]::-moz-focus-inner,button::-moz-focus-inner{padding:0;border-style:none}input[type=checkbox],input[type=radio]{box-sizing:border-box;padding:0}input[type=date],input[type=datetime-local],input[type=month],input[type=time]{-webkit-appearance:listbox}textarea{overflow:auto;resize:vertical}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;max-width:100%;padding:0;margin-bottom:.5rem;font-size:1.5rem;line-height:inherit;color:inherit;white-space:normal}progress{vertical-align:baseline}[type=number]::-webkit-inner-spin-button,[type=number]::-webkit-outer-spin-button{height:auto}[type=search]{outline-offset:-2px;-webkit-appearance:none}[type=search]::-webkit-search-decoration{-webkit-appearance:none}::-webkit-file-upload-button{font:inherit;-webkit-appearance:button}output{display:inline-block}summary{display:list-item;cursor:pointer}template{display:none}[hidden]{display:none!important}
8 | /*# sourceMappingURL=bootstrap-reboot.min.css.map */
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/static/deadlines_css/deadlines.css:
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1 | body {
2 | font-size: 16px;
3 | line-height: 23px;
4 | font-weight: 300;
5 | /* color: #333; */
6 | }
7 |
8 | body *::selection {
9 | background: #e74c3c;
10 | color: #fff;
11 | }
12 |
13 | .container {
14 | max-width: 980px;
15 | }
16 |
17 | .top-strip {
18 | background-color: #333;
19 | height: 0.25em;
20 | width: 100%;
21 | }
22 |
23 | h1,h2,h3 {
24 | /* font-weight: 300; */
25 | }
26 |
27 | h1 {
28 | margin: 0 0 10px;
29 | font-size: 30px;
30 | line-height: 35px;
31 | }
32 |
33 | h2 {
34 | margin: 0 0 10px;
35 | font-size: 25px;
36 | line-height: 30px;
37 | }
38 |
39 | h3 {
40 | margin: 0;
41 | font-size: 20px;
42 | line-height: 25px;
43 | }
44 |
45 | .page-header {
46 | margin-top: 20px;
47 | }
48 |
49 | #conf-title.page-header {
50 | border-bottom: none;
51 | }
52 |
53 | p.authors {
54 | margin-bottom: 5px;
55 | color: #808080;
56 | font-size: 20px;
57 | }
58 |
59 | p.authors a {
60 | border-color: #dedede;
61 | }
62 |
63 | img {
64 | max-width: 100%;
65 | }
66 |
67 | p {
68 | text-align: justify;
69 | }
70 |
71 | a {
72 | text-decoration: none;
73 | border-bottom: 1px solid #ccc;
74 | color: inherit;
75 | }
76 |
77 | p.lead.authors a {
78 | border-bottom: none;
79 | }
80 |
81 | a:hover, a:focus {
82 | color: inherit;
83 | text-decoration: none;
84 | }
85 |
86 | .thumb {
87 | margin: 20px 0;
88 | border: 1px solid #808080;
89 | }
90 |
91 | pre {
92 | color: #333;
93 | font-size: 12px;
94 | line-height: 17px;
95 | }
96 |
97 | footer {
98 | font-size: 13px;
99 | }
100 |
101 | .past {
102 | opacity: 0.5;
103 | }
104 |
105 | .deadline, .meta {
106 | font-size: 13px;
107 | }
108 |
109 | .note {
110 | font-size: 13px;
111 | margin-bottom: 5px;
112 | }
113 |
114 | .timer {
115 | font-size: 20px;
116 | }
117 |
118 | #conf-timer {
119 | font-size: 72px;
120 | color: #444;
121 | }
122 |
123 | @media only screen and (max-width: 780px) {
124 | #conf-timer {
125 | font-size: 64px;
126 | }
127 | }
128 |
129 | @media only screen and (max-width: 450px) {
130 | #conf-timer {
131 | font-size: 36px;
132 | }
133 | }
134 |
135 | @media only screen and (max-width: 375px) {
136 | #conf-timer {
137 | font-size: 28px;
138 | }
139 | }
140 |
141 | .checkbox {
142 | font-size: 12px;
143 | }
144 |
145 | .calendar {
146 | font-size: 12px;
147 | margin-bottom: -5px;
148 | }
149 |
150 | .calendar img {
151 | margin-right: 5px;
152 | }
153 |
154 | .ind-cal {
155 | margin: 0 5px;
156 | }
157 |
158 | .calendar img {
159 | height: 20px;
160 | }
161 |
162 |
163 |
164 |
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1 |
2 |
4 |
7 |
8 | Created by potrace 1.11, written by Peter Selinger 2001-2013
9 |
10 |
12 |
45 |
46 |
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1 | {
2 | "name": "",
3 | "short_name": "",
4 | "icons": [
5 | {
6 | "src": "/android-chrome-192x192.png",
7 | "sizes": "192x192",
8 | "type": "image/png"
9 | },
10 | {
11 | "src": "/android-chrome-256x256.png",
12 | "sizes": "256x256",
13 | "type": "image/png"
14 | }
15 | ],
16 | "theme_color": "#ffffff",
17 | "background_color": "#ffffff",
18 | "display": "standalone"
19 | }
20 |
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/static/js/jquery.countdown.min.js:
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1 | /*!
2 | * The Final Countdown for jQuery v2.2.0 (http://hilios.github.io/jQuery.countdown/)
3 | * Copyright (c) 2016 Edson Hilios
4 | *
5 | * Permission is hereby granted, free of charge, to any person obtaining a copy of
6 | * this software and associated documentation files (the "Software"), to deal in
7 | * the Software without restriction, including without limitation the rights to
8 | * use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
9 | * the Software, and to permit persons to whom the Software is furnished to do so,
10 | * subject to the following conditions:
11 | *
12 | * The above copyright notice and this permission notice shall be included in all
13 | * copies or substantial portions of the Software.
14 | *
15 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
17 | * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
18 | * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
19 | * IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
20 | * CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
21 | */
22 | !function(a){"use strict";"function"==typeof define&&define.amd?define(["jquery"],a):a(jQuery)}(function(a){"use strict";function b(a){if(a instanceof Date)return a;if(String(a).match(g))return String(a).match(/^[0-9]*$/)&&(a=Number(a)),String(a).match(/\-/)&&(a=String(a).replace(/\-/g,"/")),new Date(a);throw new Error("Couldn't cast `"+a+"` to a date object.")}function c(a){var b=a.toString().replace(/([.?*+^$[\]\\(){}|-])/g,"\\$1");return new RegExp(b)}function d(a){return function(b){var d=b.match(/%(-|!)?[A-Z]{1}(:[^;]+;)?/gi);if(d)for(var f=0,g=d.length;f1?c:d}var f=[],g=[],h={precision:100,elapse:!1,defer:!1};g.push(/^[0-9]*$/.source),g.push(/([0-9]{1,2}\/){2}[0-9]{4}( [0-9]{1,2}(:[0-9]{2}){2})?/.source),g.push(/[0-9]{4}([\/\-][0-9]{1,2}){2}( [0-9]{1,2}(:[0-9]{2}){2})?/.source),g=new RegExp(g.join("|"));var i={Y:"years",m:"months",n:"daysToMonth",d:"daysToWeek",w:"weeks",W:"weeksToMonth",H:"hours",M:"minutes",S:"seconds",D:"totalDays",I:"totalHours",N:"totalMinutes",T:"totalSeconds"},j=function(b,c,d){this.el=b,this.$el=a(b),this.interval=null,this.offset={},this.options=a.extend({},h),this.instanceNumber=f.length,f.push(this),this.$el.data("countdown-instance",this.instanceNumber),d&&("function"==typeof d?(this.$el.on("update.countdown",d),this.$el.on("stoped.countdown",d),this.$el.on("finish.countdown",d)):this.options=a.extend({},h,d)),this.setFinalDate(c),this.options.defer===!1&&this.start()};a.extend(j.prototype,{start:function(){null!==this.interval&&clearInterval(this.interval);var a=this;this.update(),this.interval=setInterval(function(){a.update.call(a)},this.options.precision)},stop:function(){clearInterval(this.interval),this.interval=null,this.dispatchEvent("stoped")},toggle:function(){this.interval?this.stop():this.start()},pause:function(){this.stop()},resume:function(){this.start()},remove:function(){this.stop.call(this),f[this.instanceNumber]=null,delete this.$el.data().countdownInstance},setFinalDate:function(a){this.finalDate=b(a)},update:function(){if(0===this.$el.closest("html").length)return void this.remove();var b,c=void 0!==a._data(this.el,"events"),d=new Date;b=this.finalDate.getTime()-d.getTime(),b=Math.ceil(b/1e3),b=!this.options.elapse&&b<0?0:Math.abs(b),this.totalSecsLeft!==b&&c&&(this.totalSecsLeft=b,this.elapsed=d>=this.finalDate,this.offset={seconds:this.totalSecsLeft%60,minutes:Math.floor(this.totalSecsLeft/60)%60,hours:Math.floor(this.totalSecsLeft/60/60)%24,days:Math.floor(this.totalSecsLeft/60/60/24)%7,daysToWeek:Math.floor(this.totalSecsLeft/60/60/24)%7,daysToMonth:Math.floor(this.totalSecsLeft/60/60/24%30.4368),weeks:Math.floor(this.totalSecsLeft/60/60/24/7),weeksToMonth:Math.floor(this.totalSecsLeft/60/60/24/7)%4,months:Math.floor(this.totalSecsLeft/60/60/24/30.4368),years:Math.abs(this.finalDate.getFullYear()-d.getFullYear()),totalDays:Math.floor(this.totalSecsLeft/60/60/24),totalHours:Math.floor(this.totalSecsLeft/60/60),totalMinutes:Math.floor(this.totalSecsLeft/60),totalSeconds:this.totalSecsLeft},this.options.elapse||0!==this.totalSecsLeft?this.dispatchEvent("update"):(this.stop(),this.dispatchEvent("finish")))},dispatchEvent:function(b){var c=a.Event(b+".countdown");c.finalDate=this.finalDate,c.elapsed=this.elapsed,c.offset=a.extend({},this.offset),c.strftime=d(this.offset),this.$el.trigger(c)}}),a.fn.countdown=function(){var b=Array.prototype.slice.call(arguments,0);return this.each(function(){var c=a(this).data("countdown-instance");if(void 0!==c){var d=f[c],e=b[0];j.prototype.hasOwnProperty(e)?d[e].apply(d,b.slice(1)):null===String(e).match(/^[$A-Z_][0-9A-Z_$]*$/i)?(d.setFinalDate.call(d,e),d.start()):a.error("Method %s does not exist on jQuery.countdown".replace(/\%s/gi,e))}else new j(this,b[0],b[1])})}});
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1 | !function(e){var o=function(e){return e.toISOString().replace(/-|:|\.\d+/g,"")},t=function(e){return e.end?o(e.end):o(new Date(e.start.getTime()+6e4*e.duration))},n={google:function(e){var n=o(e.start),i=t(e);return'Google '},yahoo:function(e){var t=e.end?(e.end.getTime()-e.start.getTime())/6e4:e.duration,n=(t<600?"0"+Math.floor(t/60):Math.floor(t/60)+"")+(t%60<10?"0"+t%60:t%60+""),i=o(new Date(e.start-6e4*e.start.getTimezoneOffset()))||"";return'Yahoo! 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1 | /* Copyright (c) 2010-2016 Marcus Westin */
2 | (function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}g.store = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;odocument.w=window'),u.close(),c=u.w.frames[0].document,t=c.createElement("div")}catch(l){t=i.createElement("div"),c=i.body}var f=function(e){return function(){var n=Array.prototype.slice.call(arguments,0);n.unshift(t),c.appendChild(t),t.addBehavior("#default#userData"),t.load(o);var i=e.apply(r,n);return c.removeChild(t),i}},d=new RegExp("[!\"#$%&'()*+,/\\\\:;<=>?@[\\]^`{|}~]","g"),s=function(e){return e.replace(/^d/,"___$&").replace(d,"___")};r.set=f(function(e,t,n){return t=s(t),void 0===n?r.remove(t):(e.setAttribute(t,r.serialize(n)),e.save(o),n)}),r.get=f(function(e,t,n){t=s(t);var i=r.deserialize(e.getAttribute(t));return void 0===i?n:i}),r.remove=f(function(e,t){t=s(t),e.removeAttribute(t),e.save(o)}),r.clear=f(function(e){var t=e.XMLDocument.documentElement.attributes;e.load(o);for(var r=t.length-1;r>=0;r--)e.removeAttribute(t[r].name);e.save(o)}),r.getAll=function(e){var t={};return r.forEach(function(e,r){t[e]=r}),t},r.forEach=f(function(e,t){for(var n,i=e.XMLDocument.documentElement.attributes,o=0;n=i[o];++o)t(n.name,r.deserialize(e.getAttribute(n.name)))})}try{var v="__storejs__";r.set(v,v),r.get(v)!=v&&(r.disabled=!0),r.remove(v)}catch(l){r.disabled=!0}return r.enabled=!r.disabled,r}();
5 | }).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
6 | },{}]},{},[1])(1)
7 | });
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/templates/base.html:
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1 |
2 |
3 |
4 | {% block head %}
5 | Data Science Competitions Deadlines
8 |
38 |
39 |
40 | {% block container %}
41 |
42 | {% endblock %}
43 |
44 |
45 |
46 | {% block script_js %}
47 |
48 |
49 |
56 | {% endblock %}
57 |
58 |
--------------------------------------------------------------------------------
/templates/hostby.html:
--------------------------------------------------------------------------------
1 | {% extends 'base.html' %}
2 |
3 | {% block head %}
4 | {{ super() }}
5 |
14 | {% endblock %}
15 |
16 |
17 |
18 | {% block container %}
19 | {{ super() }}
20 |
59 |
60 | {% for host in hosts %}
61 |
62 |
63 |
64 |
{{ host.title }}
65 |
66 | {% if host.descri %}
67 |
{{ host.descri | safe }}
68 |
69 | {% endif %}
70 |
71 |
72 |
73 |
74 |
75 |
76 |
',Object.keys(e).forEach(function(o){n.innerHTML+=''+e[o]+""}),n.className="add-to-calendar",void 0!==o&&(n.className+=" "+o),document.getElementById("ouical-css")||document.getElementsByTagName("head")[0].appendChild(i()),n.id=t,n};e.createCalendar=function(e){var o,t,i;if(void 0!==(o=e).data&&void 0!==o.data.start&&(void 0!==o.data.end||void 0!==o.data.duration))return a((i=e.data,{google:n.google(i),yahoo:n.yahoo(i),ical:n.ical(i),outlook:n.outlook(i)}),function(e){if(e.options&&e.options.class)return e.options.class}(e),(t=e).options&&t.options.id?t.options.id:Math.floor(1e6*Math.random()));console.log("Event details missing.")}}(this);
--------------------------------------------------------------------------------
/docs/static/js/store.min.js:
--------------------------------------------------------------------------------
1 | /* Copyright (c) 2010-2016 Marcus Westin */
2 | (function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}g.store = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o