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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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Data Contracts engine for the modern data stack. https://www.soda.io
Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
Feature engineering and selection open-source Python library compatible with sklearn.
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
Free antidetect browser stealth for Playwright: undetected headless Firefox fingerprint. Python scraping, recaptcha and bot detection bypass. Open source
Exploratory analysis of Bayesian models with Python
Synthetic data curation for post-training and structured data extraction
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
The LLM Anti-Framework
Scalable machine 🤖 learning for time series forecasting.
Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.
FAIR Sequence Modeling Toolkit 2
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Self-Programming AI Agent Framework. Agents create and refine their own workflows.