Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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:zap: A Fast, Extensible Progress Bar for Python and CLI
A hyperparameter optimization framework
NumPy aware dynamic Python compiler using LLVM
Asynchronous parallel SSH client library.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
40K, small memory footprint, single binary that run list of commands in parallel and waits for their termination