Stars
ThinkLang — a compact symbolic reasoning format for LLMs
Secure, Fast, and Extensible Sandbox runtime for AI agents.
Autonomous AI development loop for Claude Code with intelligent exit detection
An Open Source implementation of Notebook LM with more flexibility and features
OCR, layout analysis, reading order, table recognition in 90+ languages
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Hierarchical Reasoning Model Official Release
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
[NeurIPS 2025] Open-source Multi-agent Poster Generation from Papers
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
Build Real-Time Knowledge Graphs for AI Agents
12 Lessons to Get Started Building AI Agents
[ICCV2025] Referring any person or objects given a natural language description. Code base for RexSeek and HumanRef Benchmark
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
A simple, easy-to-hack GraphRAG implementation
Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction
Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS …
[NeurIPS 2024] Agent Planning with World Knowledge Model
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
"How to Do Great Research" Course for Ph.D. Students
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
GraphRAG的应用实例，项目特点在于提供了替换OpenAI模型的方法，并通过修改原有提示和切分文档的方法，提高了GraphRAG处理中文内容的能力。
[Neurips 2025] Imagine360: Immersive 360 Video Generation from Perspective Anchor
A guide for setting up a SLURM cluster using Ubuntu 20.04 with both CPUs and GPUS.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.