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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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[AAAI 2025] EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning
A nearly-live implementation of OpenAI's Whisper.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
AdalFlow: The library to build & auto-optimize LLM applications.
Machine Learning Pipelines for Kubeflow
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Official repository for the Boltz biomolecular interaction models
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
A system for agentic LLM-powered data processing and ETL
ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cognitive frames, scores, prunes traps, deepens the survivors. The no-brainer skill for creative and interdisciplinary work.
Harness LLMs with Multi-Agent Programming
An open-source model family for long-form speech, dialogue synthesis, voice design, sound effects, and real-time streaming TTS
OpenAgents - The collaboration OS for AI agents
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
RTAB-Map library and standalone application
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
Simple, safe way to store and distribute tensors
The official CLI and Python client for the Hugging Face Hub.
Simple RL training for reasoning
Superfast AI decision making and intelligent processing of multi-modal data.
A library for mechanistic interpretability of GPT-style language models
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
Generative models for conditional audio generation
Maestro: Netflix’s Workflow Orchestrator
A flexible, high-performance 3D simulator for Embodied AI research.
Open-source security automation platform for teams and AI agents
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
Input OpenAPI. Output SDKs and Docs.
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
Qwen3.6 is the large language model series developed by Qwen team, Alibaba Group.
AI Infra / AI Orchestration / AI Control Plane
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
The best OSS video generation models, created by Genmo
Open-source multimodal retrieval engine (Morphik Core)
Fully customizable AI chatbot component for your website
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
Quickly and accurately render even the largest data.
Synthetic data generation for tabular data
Evaluation and Tracking for LLM Experiments and AI Agents
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.
Eagle: Frontier Vision-Language Models with Data-Centric Strategies