Ray
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Modin: Scale your Pandas workflows by changing a single line of code
RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
Official Implementation of 'Fast AutoAugment' in PyTorch.
A library that translates Python and NumPy to optimized distributed systems code.
A toolkit to run Ray applications on Kubernetes
LLMPerf is a library for validating and benchmarking LLMs