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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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Synthetic data curation for post-training and structured data extraction
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Automated Machine Learning on Kubernetes
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.
Machine learning with dataframes
Reference implementations of MLPerf® inference benchmarks
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
A Data Streaming Library for Efficient Neural Network Training
Scalable machine 🤖 learning for time series forecasting.
XAI - An eXplainability toolbox for machine learning
Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
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