Annotated_deep_learning_paper_implementations Alternatives
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cs Video Courses | 62,887 | a year ago | ||||||||
| List of Computer Science courses with video lectures. | ||||||||||
| Annotated_deep_learning_paper_implementations | 53,666 | | 2 | 9 months ago | 79 | November 05, 2023 | 30 | mit | Python | |
| 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 | ||||||||||
| Ray | 29,596 |  | 80 | 363 | a year ago | 95 | December 04, 2023 | 3,528 | apache-2.0 | Python |
| Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. | ||||||||||
| Applied Ml | 24,828 | 2 years ago | 3 | mit | ||||||
| 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. | ||||||||||
| D2l En | 21,912 | a year ago | 2 | November 13, 2022 | 115 | other | Python | |||
| Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. | ||||||||||
| Ml Agents | 15,707 |  | 12 | 17 | a year ago | 46 | October 09, 2023 | 48 | other | C# |
| The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. | ||||||||||
| Tensor2tensor | 13,701 |  | 82 | 8 | 2 years ago | 79 | June 17, 2020 | 589 | apache-2.0 | Python |
| Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. | ||||||||||
| Deep Learning Drizzle | 10,767 | 2 years ago | 6 | HTML | ||||||
| Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! | ||||||||||
| Amazon Sagemaker Examples | 10,489 | 2 months ago | 894 | apache-2.0 | Jupyter Notebook | |||||
| Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. | ||||||||||
| Wandb | 9,831 |  | 39 | 622 | 8 days ago | 266 | December 05, 2023 | 1,040 | mit | Python |
| The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production. | ||||||||||
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