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A hands-on course for building modern LLMs from scratch in PyTorch, with 26 runnable Jupyter Notebooks covering tokenizers, attention, MoE, RLHF, inference, evaluation, and distillation.
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's open notes for Codex, Claude Code, and Gemini.
Writing AI Conference Papers: A Handbook for Beginners
《动手做科研》面向科研初学者，一步一步地展示如何入门人工智能科研
This is a repository for learning how to conduct academic research.
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
Collection of advice for prospective and current PhD students
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
研究资源列表 A curated list of research resources
This is the notebooks for videos in my Bilibili Channel (https://space.bilibili.com/32773300?spm_id_from=333.1007.0.0)
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
A book for Learning the Foundations of LLMs
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Python code for "Probabilistic Machine learning" book by Kevin Murphy
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接