机器学习相关教程
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Updated
Dec 22, 2020 - Python
机器学习相关教程
An automated bitcoin wallet collider that brute forces random wallet addresses
简单易用的Python爬虫框架,QQ交流群:597510560
Computing with Python functions.
massive SQL injection vulnerability scanner
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
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).
Event driven concurrent framework for Python
Simple A3C implementation with pytorch + multiprocessing
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
pip install funboost,python全功能分布式函数调度框架,。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 强劲 强大,相见恨晚 。
Repository for Parallel Programming course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.
AREG is an asynchronous Object RPC framework to simplify multitasking programming by blurring borders between processes and treating remote objects as if they coexist in the same thread.
Distributed Computing for AI Made Simple
爬蟲極簡教學(fetch, parse, search, multiprocessing, API)- PTT 為例
A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀
Take a modern Python codebase to the next level of performance.
A tool that generates an initial coala config file for you!
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