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🧑🏫 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, ... 🧠
PyTorch Tutorial for Deep Learning Researchers
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
A best practice for tensorflow project template architecture.
零基础入门大模型(LLM)的基础教程:从零手写 GPT-2,一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step
Spatial Transformer Nets in TensorFlow/ TensorLayer