GitHub - labmlai/annotated_deep_learning_paper_implementations: 🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 - GitHub - labmlai/annotated_deep_learning_paper_implementations: 🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
https://github.com/labmlai/annotated_deep_learning_paper_implementations这是一个重点讲解各AI模型的github贴子，里面很详细的写了包括transformer等等经典模型的代码实现！很nice!
https://github.com/WZMIAOMIAO/deep-learning-for-image-processing
https://github.com/WZMIAOMIAO/deep-learning-for-image-processing
深度学习在图像处理应用中的教程，讲得特别的清晰易懂~~小白推荐
前言 — 动手学深度学习 2.0.0 documentation
https://zh-v2.d2l.ai/chapter_preface/index.html李沐的动手学深度学习，视频+代码+答疑。还有配套的书，很nice
The latest in Machine Learning | Papers With CodePapers With Code highlights trending Machine Learning research and the code to implement it.
https://paperswithcode.com/论文+实现源码，还有丰富的数据集，值得体验！
ModelScope - 模型列表页
阿里达摩院的开源平台，想发高质量论文和跟踪前沿最新代码必看！！！