├── .gitignore ├── LICENSE └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | .idea -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2019 DeepTecher 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 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # SecondaryAwesomeCollection 2 | Collect the awesome DeepLearning lists in GitHub 3 | ## Courses or Paper 4 | * [prakhar1989/awesome-courses](https://github.com/prakhar1989/awesome-courses) :star: 29.9K (Comment : Course for CS) 5 | * [kmario23/deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle) :star: 4.4K (Comment : Course for Deep Learning, 6 | Reinforcement Learning, Machine Learning, Computer Vision, and NLP :fire: :fire: :fire:) 7 | * [terryum/awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers) :star: 18K 8 | 9 | *[Sophia-11/Awesome-CV-Paper-Review](https://github.com/Sophia-11/Awesome-CV-Paper-Review) collect the paper about `image classfication` & `object detection` 10 | 11 | 12 | ## Learning DeepLearning Framework 13 | #### TensorFlow 14 | * [jtoy/awesome-tensorflow](https://github.com/jtoy/awesome-tensorflow) :star: 13.7K 15 | * [fendouai/Awesome-TensorFlow-Chinese](https://github.com/fendouai/Awesome-TensorFlow-Chinese) :star: 0.9K (中文版) 16 | #### PyTorch 17 | * [bharathgs/Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list) :star: 5.6K 18 | * [rickiepark/awesome-pytorch](https://github.com/rickiepark/awesome-pytorch) :star: 0.2K 19 | * [INTERMT/Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese) :star: 0.16K (中文) 20 | 21 | #### MXNet 22 | * [chinakook/Awesome-MXNet](https://github.com/chinakook/Awesome-MXNet) :star:0.6K 23 | 24 | ## Machine Learning 25 | * [josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning) :star: 38.4K 26 | * [apachecn/AiLearning](https://github.com/apachecn/AiLearning) :star: 10K （中文） 27 | * [ujjwalkarn/Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials) :star: 8.7K 28 | * [src-d/awesome-machine-learning-on-source-code](https://github.com/src-d/awesome-machine-learning-on-source-code) :star: 3.8K 29 | * [jobbole/awesome-machine-learning-cn](https://github.com/jobbole/awesome-machine-learning-cn) :star: 2.6K (中文版) 30 | * [arbox/machine-learning-with-ruby](https://github.com/arbox/machine-learning-with-ruby) :star: 1.2K 31 | 32 | ## AI 33 | * [owainlewis/awesome-artificial-intelligence](https://github.com/owainlewis/awesome-artificial-intelligence) :star:4.5K 34 | 35 | ## Deep Learning 36 | * [ChristosChristofidis/awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning) :star: 11.3K 37 | * [endymecy/awesome-deeplearning-resources](https://github.com/endymecy/awesome-deeplearning-resources) :star: 1.8K 38 | 39 | 40 | ## Computer version 41 | * [kjw0612/awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision) :star: 7.9K 42 | * [jbhuang0604/awesome-computer-vision](https://github.com/jbhuang0604/awesome-computer-vision) :star: 9.6K （一年前的更新内容） 43 | #### Image Classification 44 | * [weiaicunzai/awesome-image-classification](https://github.com/weiaicunzai/awesome-image-classification) :star: 0.2K 45 | #### Object Detection 46 | * [hoya012/deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection) :star: 3.7K 47 | * [amusi/awesome-object-detection](https://github.com/amusi/awesome-object-detection) :star: 2.4K 48 | 49 | #### Semantic Segmentation 50 | * [mrgloom/awesome-semantic-segmentation](https://github.com/mrgloom/awesome-semantic-segmentation) :star: 3.2K 51 | #### Object Track 52 | * [foolwood/benchmark_results](https://github.com/foolwood/benchmark_results) :star: 1.7K 53 | * [SpyderXu/multi-object-tracking-paper-list](https://github.com/SpyderXu/multi-object-tracking-paper-list) :star: 0.3K 54 | 55 | #### Awesome Fine-Grained Image Analysis 56 | * [html:weixiushen/Awesome_FGIA](http://www.weixiushen.com/project/Awesome_FGIA/Awesome_FGIA.html) 57 | 58 | 59 | #### Human Pose Estimation 60 | * [cbsudux/awesome-human-pose-estimation](https://github.com/cbsudux/awesome-human-pose-estimation) :star: 0.5K 61 | #### Face Recognition 62 | * [ChanChiChoi/awesome-Face_Recognition](https://github.com/ChanChiChoi/awesome-Face_Recognition) :star: 0.5K 63 | 64 | ## Transfer Learning 65 | * [jindongwang/transferlearning](https://github.com/jindongwang/transferlearning) :star: 2.8K 66 | ## 3D 67 | * [timzhang642/3D-Machine-Learning](https://github.com/timzhang642/3D-Machine-Learning) :star:2.66K 68 | #### 3D Reconstruction 69 | * [openMVG/awesome_3DReconstruction_list](https://github.com/openMVG/awesome_3DReconstruction_list) :star: 1.5K 70 | 71 | ## RNN 72 | * [kjw0612/awesome-rnn](https://github.com/kjw0612/awesome-rnn) :star: 5.3K 73 | ## GAN 74 | * [hindupuravinash/the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo) :star: 5.1K 75 | * [zhangqianhui/AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers) :star: 4.3K 76 | * [nightrome/really-awesome-gan](https://github.com/nightrome/really-awesome-gan) :star: 2.4K 77 | * [nashory/gans-awesome-applications](https://github.com/nashory/gans-awesome-applications) :star:1.4K 78 | 79 | ## NLP 80 | * [keon/awesome-nlp](https://github.com/keon/awesome-nlp) :star: 7.7K 81 | * [crownpku/Awesome-Chinese-NLP](https://github.com/crownpku/Awesome-Chinese-NLP) :star: 3.3K 82 | 83 | ## Meta Learning 84 | * [dragen1860/awesome-meta-learning](https://github.com/dragen1860/awesome-meta-learning) :star:0.17K 85 | * [gopala-kr/meta-learning](https://github.com/gopala-kr/meta-learning) 86 | 87 | 88 | ## Reinforcement Learning 89 | * [aikorea/awesome-rl](https://github.com/aikorea/awesome-rl) :star: 5.2K 90 | #### Deep Reinforcement Learning 91 | * [junhyukoh/deep-reinforcement-learning-papers](https://github.com/junhyukoh/deep-reinforcement-learning-papers) :star:1.7K 92 | #### Multi-Agent Reinforcement Learning 93 | * [LantaoYu/MARL-Papers](https://github.com/LantaoYu/MARL-Papers) :star:1.0K 94 | 95 | 96 | ## Autonomous Vehicles 97 | * [takeitallsource/awesome-autonomous-vehicles](https://github.com/takeitallsource/awesome-autonomous-vehicles) :star: 0.79K 98 | * [philbort/awesome-self-driving-cars](https://github.com/philbort/awesome-self-driving-cars) :star: 0.14K 99 | * [ZRZheng/Autonomous_Vehicle_Paper_Reading_List](https://github.com/ZRZheng/Autonomous_Vehicle_Paper_Reading_List) :star: 0.052K 100 | 101 | #### Motion Plan 102 | * [AGV-IIT-KGP/awesome-motion-planning](https://github.com/AGV-IIT-KGP/awesome-motion-planning) :star: 0.06K 103 | #### Robotics 104 | * [AtsushiSakai/PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) :star: 4.6K 105 | 106 | ## AutoML 107 | * [[Website]automl.org](https://www.automl.org/) :+1: 108 | * [hibayesian/awesome-automl-papers](https://github.com/hibayesian/awesome-automl-papers) :star: 0.7K 109 | * [markdtw/awesome-architecture-search](https://github.com/markdtw/awesome-architecture-search) :star: 0.67K 110 | 111 | 112 | 113 | 114 | 115 | 116 | 117 | 118 | 119 | 120 | 121 | --------------------------------------------------------------------------------