Stars
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser & Trae AI (And other Open Sourced) System Prompts, Tools & AI Models.
RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Fully open reproduction of DeepSeek-R1
Solve Visual Understanding with Reinforced VLMs
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)
Transformer的完整实现。详细构建Encoder、Decoder、Self-attention。以实际例子进行展示，有完整的输入、训练、预测过程。可用于学习理解self-attention和Transformer
🔐Free GPT-3.5 chat with your docs (PDF, WORD, CSV, TXT)
A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。
RAG-VectorDB-Embedings-LlamaIndex-Langchain
Super performant RAG pipelines for AI apps. Summarization, Retrieve/Rerank and Code Interpreters in one simple API.
Examples of chatbot implementations with Langchain and Streamlit
Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through…
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
📄 Multi-Modal Retrieval-Augmented Generation (RAG) for querying and interacting with diverse data formats including PDFs, images, text, and DOCX files.
Supercharge Your LLM Application Evaluations 🚀
Full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning.
An open-source RAG-based tool for chatting with your documents.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & RFT & Dynamic Sampling & Async Agent RL)
从零搭建Agent框架(Build LLM ReAct Agent from scratch)
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Ovis2, InternVL3, Llava, GLM4…