An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Use a yaml file to stitch together commands and bash snippits and run them with a bit of style. Why? Because your bash script should be quiet and shy-like (...and not such a loud mouth).
Python supercharged for the fastai library
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
An advanced parallelization library for PHP, enabling efficient multitasking, optimizing resource use, and application responsiveness through multiple CPU threads.
100% Vanilla Javascript Multithreading & Parallel Execution Library
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Parallel processing with progress bars
Video and Image Processing and Computer Vision Library in pure JavaScript (Browser and Node.js)
Efficient Haskell Arrays featuring Parallel computation
⚡ Multithreading functions in JavaScript. Designed to feel like writing vanilla functions.
🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures
Text Mining and Topic Modeling Toolkit for Python with parallel processing power
适用于高性能系统的多进程解压缩软件(A multiprocess decompression software for high-performance system)
基于注解实现并行地依赖注入(数据聚合),可以看做 Spring Async 注解的升级版
Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture
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