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ai-learn icon ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

appium icon appium

:iphone: Automation for iOS, Android, and Windows Apps.

awesome-javascript icon awesome-javascript

🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things.

awesome-javascript-cn icon awesome-javascript-cn

JavaScript 资源大全中文版，内容包括：包管理器、加载器、测试框架、运行器、QA、MVC框架和库、模板引擎等

baiduyun icon baiduyun

🖖油猴脚本 一个脚本搞定百度网盘下载 https://www.baiduyun.wiki

blog icon blog

冴羽写博客的地方，预计写四个系列：JavaScript深入系列、JavaScript专题系列、ES6系列、React系列。

blog-1 icon blog-1

关注基础知识，打造优质前端博客，公众号[前端工匠]的作者

computer-science-flash-cards icon computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

cytoscape.js icon cytoscape.js

Graph theory (network) library for visualisation and analysis

d2l-zh icon d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deno icon deno

A secure TypeScript runtime on V8

easy-mock icon easy-mock

A persistent service that generates mock data quickly and provids visualization view.

egg icon egg

🥚 Born to build better enterprise frameworks and apps with Node.js & Koa

eggjs-note icon eggjs-note

《Egg.js 深入浅出学习笔记》(暂时停更)

electron icon electron

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

es6 icon es6

ES6个人学习资料

fabric.js icon fabric.js

Javascript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser

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