Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. ๐ Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Kronos: A Foundation Model for the Language of Financial Markets
Making large AI models cheaper, faster and more accessible
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
DSPy: The framework for programmingโnot promptingโlanguage models
SGLang is a high-performance serving framework for large language models and multimodal models.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Fully automatic censorship removal for language models
A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.
๐ค Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Build and run agents you can see, understand and trust.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Python scraper based on AI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
๐ The fast, Pythonic way to build MCP servers and clients.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
The official Python SDK for Model Context Protocol servers and clients
Universal LLM Deployment Engine with ML Compilation
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
๐ค The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
๐ ่ชๆ็ฎก็ๆ้ณใTikTok ๆฐๆฎ้้ไธๆ ๆฐดๅฐ่ง้ขไธ่ฝฝ API๏ผๆฏๆ AI agent ้่ฟ MCP ่ฐ็จไธ็ฆป็บฟ่ฏญ้ณ่ฝฌๆๅญ๏ผDocker ไธ้ฎ้จ็ฝฒใ| Self-hosted TikTok & Douyin scraper and no-watermark video downloader โ async REST API, MCP server for AI agents, CLI and web console, plus offline speech-to-text for downloaded videos. Self-healing identity pool, PostgreSQL archive, one docker compose up.
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Machine Learning Engineering Open Book
Train transformer language models with reinforcement learning.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js model. Token-efficient image-to-3D.
SQL databases in Python, designed for simplicity, compatibility, and robustness.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Ongoing research training transformer models at scale
Wan: Open and Advanced Large-Scale Video Generative Models
Datasets, Transforms and Models specific to Computer Vision
๐ซ CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
ARIS โ๏ธ (Auto-Research-In-Sleep) โ Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in โ works with Claude Code, Codex, OpenClaw, or any LLM agent.
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
๐๏ธ ไธ็ๅ ญ้จๅถ ยท OpenClaw Multi-Agent Orchestration System โ 9 specialized AI agents with real-time dashboard, model config, and full audit trails
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. ๐https://aka.ms/RD-Agent-Tech-Report
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Unified framework for building enterprise RAG pipelines with small, specialized models
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
An open source implementation of CLIP.
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Build voice agents with open-source models
Enjoy the magic of Diffusion models!
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.