Stars
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
MTEB: Massive Text Embedding Benchmark
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation,…
精选了10K+项目，包括机器学习、深度学习、NLP、GNN、推荐系统、生物医药、机器视觉、前后端开发等内容。Selected more than 10k+ projects, including machine learning, deep learning, NLP, GNN, recommendation system, biomedicine, machine vision, etc.…
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
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An Open Foundation Model and Benchmark to Accelerate Generative Recommendation
⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
🎉 (RuoYi)官方仓库 基于Spring Boot、Spring Cloud & Alibaba的分布式微服务架构权限管理系统
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
📚 Freely available programming books
Java 学习&面试指南（Go、Python 后端面试通用,计算机基础面试总结）。准备后端技术面试，首选 JavaGuide！
A pytorch library for graph and hypergraph computation.
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
the resources about the application based on LLM with RAG pattern
Python - 100天从新手到大师
DomainBed is a suite to test domain generalization algorithms
Retrieval and Retrieval-augmented LLMs
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…