#Multiprocessing
Showing 24 of 24 repositories tagged #multiprocessing, ranked by stars
机器学习相关教程
Computing with Python functions.
Take a modern Python codebase to the next level of performance.
Concurrent Python made simple
🧵 Fast and easy multithreading for React Native using JSI
:camera_flash: Fast batch image resizer and rotator
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
pip install funboost，python全功能分布式函数调度框架,funboost的功能是全面性重量级，用户能想得到的功能99%全都有;funboost的使用方式是轻量级，只有@boost一行代码需要写。支持python所有类型的并发模式和一切知名消息队列中间件，支持如 celery dramatiq等框架整体作为funboost中间件，python函数加速器，框架包罗万象，用户能想到的控制功能全都有。一统编程思维，兼容50% python业务场景，适用范围广。只需要一行代码即可分布式执行python一切函数，99%用过funboost的pythoner 感受是 简易 方便 自由 强大，相见恨晚 。
Simple A3C implementation with pytorch + multiprocessing
Multiprocessing Pool Extensions
A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀
sync/async iterable streams for Python
一款在NoneBot2中直接运行go-cqhttp的插件, 无需额外下载安装 / A plugin to run go-cqhttp directly in NoneBot2, without additional download and installation.
krABMaga: A modern developing art for reliable and efficient Agent-based Model (ABM) simulation with the Rust language
Repository for Parallel Programming course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.
Network automation using various python modules in Python3
🃏 Realistic blackjack simulator (practice card counting using Hi-Lo and calculate EV for any table conditions)
A Parallel Process Queue for Python
A vim plugin for running multiple process asynchronously base on neomake.
Multi terminal experience
Parallel correlation calculation of big numpy arrays or pandas dataframes with NaNs and infs.
A multiprocessing webscraper for Coursera.org to build a dataset for all courses with details like ratings, difficulty, etc.
Minecraft accounts checker (Mojang).
This is a backtesting demo in Python. Different moving average prices are used to make buy and sell decisions. A Jupyter notebook version is for serial mode. while py version is for multiprocessing. A version for GPU has been tried, but not successful.