Robust recipes to align language models with human and AI preferences
🏋️ 训练微调与 MLOps
微调、分布式训练、强化学习与实验管理
全部 1047🧠 大语言模型 25🤖 AI 智能体 164🧩 应用开发平台 23📚 RAG 与知识库 46💬 聊天界面与客户端 42🖥️ 本地推理与部署 87👨💻 AI 编程 97🛠️ 开发框架与 SDK 48🔌 MCP 与工具生态 36🎨 图像生成 26🎬 视频生成 18🎙️ 语音与音频 44👁️ 计算机视觉 26📄 文档解析与抓取 24🗄️ 向量数据库 25🏋️ 训练微调与 MLOps 76🧪 评测·观测·安全 80🚪 API 网关与代理 12🔎 搜索与深度研究 13⚙️ 深度学习基础库 54🏷️ 数据与标注 31🔬 行业与科研 AI 36⚡ 效率工具 14
可移植、可复现的 MLOps 流水线框架。
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
A Next-Generation Training Engine Built for Ultra-Large MoE Models
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
An Engine-Agnostic Deep Learning Framework in Java
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Machine Learning Pipelines for Kubeflow
AI Infra / AI Orchestration / AI Control Plane
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory util
Open-source AI humanizer that rewrites AI-generated text into natural, human-sounding writing. Structure-first SFT + KTO training-data pipeline plus a runnable translation-chain humanizer (DeepSeek, OpenRouter, n8n). Tra
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Minimalistic large language model 3D-parallelism training
Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Scalable toolkit for efficient model reinforcement
A Data Streaming Library for Efficient Neural Network Training
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
Python package for LLM compression