A high-performance distributed training framework for Reinforcement Learning
翻译 - PARL强化学习的高性能分布式培训框架
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+
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
#计算机科学#Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
#学习与技能提升#Software rendering engine with PBR. Built from scratch on C++.
for mass exploiting
FastFlow pattern-based parallel programming framework (formerly on sourceforge)
#计算机科学#Cuneiform distributed programming language
Enables the parallelization of Symfony Console commands.
翻译 - 启用Symfony控制台命令的并行化。
🚀 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
#计算机科学#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.