机器学习相关教程

Computing with Python functions.

Take a modern Python codebase to the next level of performance.

Event driven concurrent framework for Python

简单易用的Python爬虫框架，QQ交流群：597510560

Concurrent Python made simple

A generic cross-platform C library that includes many commonly used components and frameworks, and a new scripting language interpreter. It currently supports C99 and Aspect-Oriented Programming (AOP).

An automated bitcoin wallet collider that brute forces random wallet addresses

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

massive SQL injection vulnerability scanner

🧵 Fast and easy multithreading for React Native using JSI

📸 Fast batch image resizer and rotator

Distributed Computing for AI Made Simple

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

An advanced parallelization library for PHP, enabling efficient multitasking, optimizing resource use, and application responsiveness through multiple CPU threads.

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 。

A Python 3.5+ library that integrates the multiprocessing module with asyncio

Simple A3C implementation with pytorch + multiprocessing

Multi threading and processing eye-candy.

Concurrently detect the minimum Python versions needed to run code