There are 11 repositories under parallel-processing topic.
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
100% Vanilla Javascript Multithreading & Parallel Execution Library
STREAM, for lots of devices written in many programming models
⚡ Multithreading functions in JavaScript to speedup heavy workloads, designed to feel like writing vanilla functions.
:rocket: R package: future.apply - Apply Function to Elements in Parallel using Futures
Text Mining and Topic Modeling Toolkit for Python with parallel processing power
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
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)
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
The Accelerator is a tool for fast and reproducible processing of large amounts of data.
A rotating proxy solution to bot YouTube views
C++ light-weight Thread Pool library
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.
:rocket: R package future.callr: A Future API for Parallel Processing using 'callr'
A parallel pipeline for stream processing
Repository for Parallel Programming course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.
The REST API and execution engine for the Didact Platform.
Assignments and Quizzes submitted by me.
A project on motion detection in a noisy environment (shaky or moving camera), through background subtraction with single Gaussian models.