60+ Implementations/tutorials of deep learning papers with side-by-side notes ; including transformers, optimizers, gans, reinforcement learning (ppo, dqn), capsnet, distillation, ...
最近更新: 2个月前60+ Implementations/tutorials of deep learning papers with side-by-side notes ; including transformers, optimizers, gans, reinforcement learning (ppo, dqn), capsnet, distillation, ...
最近更新: 2个月前A self-contained course to learn the basics of neural networks: from backprop to GPT!
最近更新: 3个月前本项目旨在以最直观的方式揭示现代 AI 框架（如 PyTorch）和强化学习环境（如 OpenAI Gym）背后的底层原理。它不依赖任何深度学习库，仅用约 300 行代码就实现了自动微分引擎、物理环境仿真以及神经网络训练。
最近更新: 3个月前Systematic learning notes on Jason Wei's research, CoT, and LLM reasoning.（系统学习 Jason Wei 及其 LLM 推理研究的笔记）
最近更新: 4个月前
