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

for mass exploiting

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

Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogenous environments.

A small Java 8 util library, complementary to Guava (BiStream, Substring, MoreStreams, Parallelizer).

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.

Easy to use map and starmap python equivalents

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

Maven plugin that simplifies running Cucumber Scenarios in parallel.

PARALLEL: Stata module for parallel computing