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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
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Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
an ambient intelligence library
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
A scikit-learn compatible neural network library that wraps PyTorch
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
A system for quickly generating training data with weak supervision
FlashInfer: Kernel Library for LLM Serving
Open-source scientific and technical publishing system built on Pandoc.
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
A treasure chest for visual classification and recognition powered by PaddlePaddle
PyTorch native post-training library
A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Democratizing Reinforcement Learning for LLMs
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Model interpretability and understanding for PyTorch
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
HelixDB is an OLTP graph-vector database built in Rust on Object Storage.
Chronos: Pretrained Models for Time Series Forecasting
Gemma open-weight LLM library, from Google DeepMind
A PyTorch native platform for training generative AI models
🐢 Open-Source Evaluation & Testing library for LLM Agents
Supercharge Your Model Training
SWE-bench: Can Language Models Resolve Real-world Github Issues?
CUDA accelerated rasterization of gaussian splatting
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Header-only C++/python library for fast approximate nearest neighbors
Simple and Distributed Machine Learning
cuML - RAPIDS Machine Learning Library
A Next-Generation Training Engine Built for Ultra-Large MoE Models
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Ecommerce Search and Discovery - marqo.ai
Time series forecasting with PyTorch
A blazing fast inference solution for text embeddings models
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Lightning ⚡️ fast forecasting with statistical and econometric models.
An Engine-Agnostic Deep Learning Framework in Java
On-device AI across mobile, embedded and edge for PyTorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Minimal CLI coding agent by Mistral
Align Anything: Training All-modality Model with Feedback
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
Fast inference engine for Transformer models
LLM training code for Databricks foundation models
Pre-trained Deep Learning models and demos (high quality and extremely fast)