Stars
🎓 系统性大语言模型构建课程｜🛠️ 覆盖预训练数据工程、Tokenizer、Transformer、MoE、GPU 编程 (CUDA/Triton)、分布式训练、Scaling Laws、推理优化及对齐 (SFT/RLHF/GRPO)｜🚀 6 个渐进式作业 + 代码驱动，建立 LLM 全栈认知体系
Unified framework for robot learning built on NVIDIA Isaac Sim
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
仅需Python基础，从0构建自己的具身智能机器人；从0逐步构建VLA/OpenVLA/SmolVLA/Pi0， 深入理解具身智能
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
Production-ready Claude Code configuration with self-improvement loop, multi-language rules, MCP integrations, and custom skills
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
My learning notes for ML SYS.
Lecture notes, projects and other materials for Course 'CS219 Advanced Programming' at Southern University of Science and Technology.
🔧Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning
Some reading notes edited in LaTeX. 一些学习笔记，使用LaTeX编辑.
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide
Crack LeetCode, not only how, but also why.
Predictions of the four corners of documents.
《剑指 Offer》《图解算法数据结构》《Krahets 笔面试精选 88 题》Python, Java, C++ 解题代码