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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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FlashInfer: Kernel Library for LLM Serving
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
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.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Upserts, Deletes And Incremental Processing on Big Data.
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
an ambient intelligence library
A scikit-learn compatible neural network library that wraps PyTorch
Open-source scientific and technical publishing system built on Pandoc.
A system for quickly generating training data with weak supervision
A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.
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
HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
A treasure chest for visual classification and recognition powered by PaddlePaddle
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
Democratizing Reinforcement Learning for LLMs
Chronos: Pretrained Models for Time Series Forecasting
PyTorch native post-training library
🐢 Open-Source Evaluation & Testing library for LLM Agents
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A PyTorch native platform for training generative AI models
Gemma open-weight LLM library, from Google DeepMind
Model interpretability and understanding for PyTorch
CUDA accelerated rasterization of gaussian splatting
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Supercharge Your Model Training
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
Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
cuML - RAPIDS Machine Learning Library
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Framework for evaluating and improving agents
A blazing fast inference solution for text embeddings models
Ecommerce Search and Discovery - marqo.ai
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
On-device AI across mobile, embedded and edge for PyTorch
Time series forecasting with PyTorch
Lightning ⚡️ fast forecasting with statistical and econometric models.
An Engine-Agnostic Deep Learning Framework in Java
Agenta is a workspace where you and your team build agents and automations.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Next Generation Agentic Proxy for AI Agents and MCP servers
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Align Anything: Training All-modality Model with Feedback
Fast inference engine for Transformer models