annotated_deep_learning_paper_implementations
60 篇深度学习论文的实现/教程,并附有旁注;包括 transformers(Original, xl, switch, feedback, vit, ...),优化器(adam, adabelief, ...),gans(cyclegan, stylegan2, ...),🎮强化学习(ppo, dqn),capnet, 蒸馏, ...。「🧑🏫 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, ... 🧠」
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Overview
Name With Owner | labmlai/annotated_deep_learning_paper_implementations |
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Primary Language | Jupyter Notebook |
Program language | Python (Language Count: 3) |
Platform | |
License: | MIT License |
Release Count | 0 |
Created At | 2020-08-25 02:29:34 |
Pushed At | 2024-03-23 23:39:46 |
Last Commit At | 2024-03-17 17:47:51 |
Stargazers Count | 48804 |
Watchers Count | 434 |
Fork Count | 5063 |
Commits Count | 763 |
Has Issues Enabled | |
Issues Count | 122 |
Issue Open Count | 36 |
Pull Requests Count | 93 |
Pull Requests Open Count | 2 |
Pull Requests Close Count | 17 |
Has Wiki Enabled | |
Is Archived | |
Is Fork | |
Is Locked | |
Is Mirror | |
Is Private |