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2019_python_web_dev

2019 Python Web Development Tutorial

awesome-python3-webapp

小白的Python入门教程实战篇：网站+iOS App源码→ http://t.cn/R2PDyWN 赞助→ http://t.cn/R5bhVpf

deepin-wine-ubuntu

Deepin Wine for Ubuntu/Debian

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

different_evolution

geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

gitskills

gym

A toolkit for developing and comparing reinforcement learning algorithms.

introrl

Intro to Reinforcement Learning (强化学习纲要）

iterm2-color-schemes

Over 225 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio

learngit

mark-mind

Next generation mind map editor

matplotlib

matplotlib: plotting with Python

numpy-cnn

A numpy-only implementation of a Convolutional Neural Network, from the ground up.

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

prml

PRML algorithms implemented in Python

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-tutorial

Build your neural network easy and fast

rlexample

Some basic examples of playing with RL

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

smarts

Scalable Multi-Agent RL Training School for Autonomous Driving