parallelization

A high-performance distributed training framework for Reinforcement Learning

Open-source, free, self-hosted alternative to Cypress Dashboard

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Extract Transform Load for Python 3.5+

Fast and distributed workflow runner using ActiveJob and Redis

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

Software rendering engine with PBR. Built from scratch on C++.

for mass exploiting

Autoscalable Programming Language

FastFlow pattern-based parallel programming framework (formerly on sourceforge)

Cuneiform distributed programming language

Enables the parallelization of Symfony Console commands.

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

ClusterRunner makes it easy to parallelize test suites across your infrastructure in the fastest and most efficient way possible.

Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures

Easy to use map and starmap python equivalents

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

PARALLEL: Stata module for parallel computing

Maven plugin that simplifies running Cucumber scenarios in parallel.