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admin

基于beego的后台管理系统

alipay

golang SDK for alipay

alipay-1

支付宝 AliPay SDK for Go, 集成简单，功能完善。

aliyunplayer_web

The kinds of demo for H5 Aliplayer, which cover live, playback and multiple platforms, such as mobile, pc and weixin and so on

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

azure-batch-samples

Azure Batch and HPC Code Samples

barcode

a barcode creation lib for golang

blockly

Blockly (Code Studio fork)

cfssl

CFSSL: Cloudflare's PKI and TLS toolkit

chewing-grid.css

A CSS Grid ideal for card listing design like tiles, videos or articles listing. Responsive without media-queries.

china-data-solutions

Used for China Cloud Group Data Solutions

cli

The Docker CLI

cloudfoundry

cobra

A Commander for modern Go CLI interactions

docker-ce

Docker CE

docker-source-analysis

docker源码分析

docker.github.io

Source repo for Docker's Documentation

docker_practice

Learn and understand Docker technologies, with real DevOps practice!

emacs-js

Emacs configuration files for editing JavaScript

emacs.d

emacsconfig

eshoponcontainers

Easy to get started sample reference microservice and container based application. Cross-platform on Linux and Windows Containers, powered by .NET Core and Docker engine. Supports .CSPROJ with Visual Studio 2017 and also CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor

fast-style-transfer-deeplearnjs

Demo of in-browser Fast Neural Style Transfer with deeplearn.js library

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

go_static

A simple static tool for any single page with golang, also can be used in Emlog platform for the whole website. 使用Go语言编写的跨平台的网站首页静态化工具[也适用于emlog整站(首页+文章+页面)静态化]

golangscript

gpay

golang payment lib (alipay, wechatpay...)

handong1587.github.io

igan

Interactive Image Generation via Generative Adversarial Networks