Build, Manage and Deploy AI/ML Systems
🏋️ 训练微调与 MLOps
微调、分布式训练、强化学习与实验管理
全部 1034🧠 大语言模型 24🤖 AI 智能体 160🧩 应用开发平台 23📚 RAG 与知识库 47💬 聊天界面与客户端 43🖥️ 本地推理与部署 86👨💻 AI 编程 94🛠️ 开发框架与 SDK 46🔌 MCP 与工具生态 35🎨 图像生成 24🎬 视频生成 18🎙️ 语音与音频 44👁️ 计算机视觉 27📄 文档解析与抓取 23🗄️ 向量数据库 25🏋️ 训练微调与 MLOps 75🧪 评测·观测·安全 77🚪 API 网关与代理 12🔎 搜索与深度研究 15⚙️ 深度学习基础库 55🏷️ 数据与标注 31🔬 行业与科研 AI 34⚡ 效率工具 16
易用、高性能的开源 RLHF 框架。
轻松在任意设备上做分布式训练与混合精度。
Containers for machine learning
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
魔搭社区的模型即服务平台开源库。
构建、部署与扩展 AI 应用和模型服务的统一框架。
slime is an LLM post-training framework for RL Scaling.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)
Tools for merging pretrained large language models.
The Open Source Feature Store for AI/ML
A repository of models, textual inversions, and more
自动化机器学习实验追踪、编排与部署平台。
Efficient Triton Kernels for LLM Training
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
A Cloud Native Batch System (Project under CNCF)
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Democratizing Reinforcement Learning for LLMs
PyTorch 原生的大模型后训练库。
A PyTorch native platform for training generative AI models