Awesome Opensource Ai

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

No description.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

No description.

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

The Context Platform for your Data and AI Stack

HunyuanVideo: A Systematic Framework For Large Video Generation Model

Go ahead and axolotl questions

Access large language models from the command-line

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

NumPy & SciPy for GPU

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

Agent S: an open agentic framework that uses computers like a human

Retrieval and Retrieval-augmented LLMs

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.

Graph-Native Infrastructure for Context and Accountable AI Systems

No description.

Build local voice agents with open-source models

A framework for building realtime voice AI agents 🤖🎙️📹

Low-code framework for building custom LLMs, neural networks, and other AI models

A PyTorch-based Speech Toolkit

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Always know what to expect from your data.

The ultimate training toolkit for finetuning diffusion models

🐍 Geometric Computer Vision Library for Spatial AI

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

Kimi Code CLI is your next CLI agent.

Multi-Agent Harness for Production AI

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

AI Observability & Evaluation

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

An elegant PyTorch deep reinforcement learning library.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Official repository for LTX-Video

Open source annotation tool for machine learning practitioners.

Fast and Accurate ML in 3 Lines of Code

Python bindings for llama.cpp

Hackable and optimized Transformers building blocks, supporting a composable construction.

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

An Open-Source Asynchronous Coding Agent

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own. AI note-taking, personal knowledge management (PKM), and an open-source Notion alternative. Based on Karpathy's LLM Wiki pattern.

Modin: Scale your Pandas workflows by changing a single line of code

Build, Manage and Deploy AI/ML Systems

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.