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Starred repositories
A command-line tool for using CommonCrawl Index API at http://index.commoncrawl.org/
A modular graph-based Retrieval-Augmented Generation (RAG) system
Library for building WebSocket servers and clients in Python
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
Fast and memory-efficient exact attention
Build resilient language agents as graphs.
💫 The magic of Inertia.js with the simplicity of Blade 💫 - Splade provides a super easy way to build Single Page Applications (SPA) using standard Laravel Blade templates, and sparkle it to make it…
Python Implementation of Reinforcement Learning: An Introduction
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
Start building LLM-empowered multi-agent applications in an easier way.
Curated list of datasets and tools for post-training.
Agno is a lightweight framework for building multi-modal Agents
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
中文Mixtral-8x7B(Chinese-Mixtral-8x7B)
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Supercharge Your LLM Application Evaluations 🚀
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…