├── 1.png ├── 2.png ├── 3.png ├── CITATION.cff ├── .github └── FUNDING.yml ├── LICENSE └── README.md /1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dair-ai/ml-visuals/HEAD/1.png -------------------------------------------------------------------------------- /2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dair-ai/ml-visuals/HEAD/2.png -------------------------------------------------------------------------------- /3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dair-ai/ml-visuals/HEAD/3.png -------------------------------------------------------------------------------- /CITATION.cff: -------------------------------------------------------------------------------- 1 | cff-version: 1.2.0 2 | message: "If you use this resource, please cite it as below." 3 | authors: 4 | - family-names: "Saravia" 5 | given-names: "Elvis" 6 | title: "ML Visuals" 7 | date-released: 2022-12-16 8 | url: "https://github.com/dair-ai/ml-visuals" 9 | preferred-citation: 10 | type: article 11 | authors: 12 | - family-names: "Saravia" 13 | given-names: "Elvis" 14 | month: 12 15 | journal: "https://github.com/dair-ai/ml-visuals" 16 | title: "ML Visuals" 17 | year: 2021 18 | -------------------------------------------------------------------------------- /.github/FUNDING.yml: -------------------------------------------------------------------------------- 1 | # These are supported funding model platforms 2 | 3 | github: [dair-ai] 4 | patreon: # Replace with a single Patreon username 5 | open_collective: dairai 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 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 dair.ai 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 | # ML Visuals 2 | 3 | 📣 Stay tuned for significant updates to both the slides and repository.!!! 4 | 5 | 📣 In the meantime, [Join our Discord](https://discord.gg/SKgkVT8BGJ) 6 | 7 | [ML Visuals](https://docs.google.com/presentation/d/11mR1nkIR9fbHegFkcFq8z9oDQ5sjv8E3JJp1LfLGKuk/edit?usp=sharing) is a new collaborative effort to help the machine learning community in improving science communication by providing free professional, compelling and adequate visuals and figures. Currently, we have over 100 figures (all open community contributions). You are free to use the visuals in your machine learning presentations or blog posts. You don’t need to ask permission to use any of the visuals but it will be nice if you can provide credit to the designer/author (author information found in the slide notes). Check out the versions of the visuals below. 8 | 9 | This is a project made by the [dair.ai](https://dair.ai/) community. The latest version of the Google slides can be found in this GitHub repository. Our community members will continue to add more common figures and basic elements in upcoming versions. Think of this as free and open artifacts and templates which you can freely and easily download, copy, distribute, reuse and customize to your own needs. 10 | 11 | ML Visuals is now being used to power 100s of figures used by master/PhD students, papers (like this [one](https://arxiv.org/abs/2010.05113)), among other use cases. 12 | 13 | ## How to Use? 14 | 15 | Essentially, we are using Google Slides to maintain all visuals and figures (check the versions below). To add your own custom figures, simply add a new slide and reuse any of the basic visual components (remember to request edit permissions). You can also create your own copy of the slides and customize whatever you like. We encourage authors/designers to add their visuals here and allow others to reuse them. Make sure to include your author information (in the notes section of the slide) so that others can provide credit if they use the visuals elsewhere (e.g. blog/presentations). Also, provide a short description of your visual to help the user understand what it is about and how they can use it. If you need "Edit" permission, just click on the "request edit access" option under the "view only" toolbar (in Google Slides) or send me an email at ellfae@gmail.com. 16 | 17 | Downloading a figure from any of the slides is easy. Just click on File→Download→(choose your format). 18 | 19 | If you need help with customizing a figure or have an idea of something that could be valuable to others, we can help. Just open an issue [here](https://github.com/dair-ai/ml-visuals/issues/new) and we will do our best to come up with the visual. Thanks. 20 | 21 | Feel free to reach out to me on [Twitter](https://twitter.com/omarsar0) for an invite to our Slack group. 22 | 23 | ## Versions: 24 | - [Version 1.0](https://docs.google.com/presentation/d/11mR1nkIR9fbHegFkcFq8z9oDQ5sjv8E3JJp1LfLGKuk/edit?usp=sharing) 25 | 26 | 27 | ## How to Contribute? 28 | - You can check out our [Project page](https://github.com/orgs/dair-ai/projects/8) to see all the ongoing tasks or issues related to this research project. Lookout for the main `ml_visuals` tag. Issues with the `good first issue` tag are good tasks to get started with. 29 | - You can also just check the [issues tab](https://github.com/dair-ai/ml-visuals/issues). 30 | - You can ask anything related to this project in our Slack group 31 | - Slack channel: #ml_visuals 32 | 33 | **Some ideas for figures to add to the Slides** ([issue](https://github.com/dair-ai/ml-visuals/issues/14)) 34 | 35 | - [ ] Linear regression, single-layer neural network 36 | - [ ] Multilayer Perceptron with hidden layer 37 | - [ ] Backpropagation 38 | - [ ] Batch Normalization and alternatives 39 | - [ ] Computational Graphs 40 | - [ ] Dropout 41 | - [ ] CNN - padding, stride, pooling,... 42 | - [ ] LeNet 43 | - [ ] AlexNet 44 | - [ ] VGG 45 | - [ ] GoogleNet 46 | - [ ] ResNet 47 | - [ ] DenseNet 48 | - [ ] Memory Networks 49 | - [ ] RNN 50 | - [ ] Deep RNN 51 | - [ ] Bidirectional RNN 52 | - [ ] GRU 53 | - [ ] LSTM 54 | - [ ] Language RNN models 55 | - [ ] Backpropagation through time 56 | - [ ] Encoder-Decoder Architecture 57 | - [ ] Seq2seq with RNN encoder-decoder 58 | - [ ] Bearm search and other decoding strategies 59 | - [ ] Attention 60 | - [ ] Multi-head attention 61 | - [ ] Self-attention 62 | - [ ] Transformer 63 | - [ ] Word2vec/GloVe/Skip-gram/CBOW/BERT/GPT.... 64 | - [ ] Common/Popular CV/NLP Tasks 65 | 66 | List adopted from multiple resources including [nlpoverview](https://nlpoverview.com/index.html) and [d2l.ai](https://d2l.ai/) which both contain a very solid syllabus. 67 | 68 | ## Examples of Visuals 69 | ![](1.png) 70 | ![](2.png) 71 | ![](3.png) 72 | --------------------------------------------------------------------------------