ray-project
ray-project
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
kuberay
A toolkit to run Ray applications on Kubernetes
mobius
Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.
xgboost_ray
Distributed XGBoost on Ray
deltacat
A portable Pythonic Data Catalog API powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your big data workloads.