Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

⚡ A Fast, Extensible Progress Bar for Python and CLI

A hyperparameter optimization framework

NumPy aware dynamic Python compiler using LLVM

A simple and efficient tool to parallelize Pandas operations on all available CPUs

Smaller, easier, more powerful, and more reliable than make. An implementation of djb's redo.

📖《Python Parallel Programming Cookbook》中文版

Asynchronous parallel SSH client library.

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

📈 Adaptive: parallel active learning of mathematical functions

Examples for https://github.com/optuna/optuna

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 enviro…

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

A parallel framework for population-based multi-agent reinforcement learning.

Multi-stream rsync wrapper

A Python module for parallel optimization of expensive black-box functions

The versatile ocean simulator, in pure Python, powered by JAX.

A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀

A pytest plugin for parallel and concurrent testing

Parallel uploads to Amazon AWS S3