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ZShiHao

ZShiHao

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ZShiHao's starred repositories

lodash

A modern JavaScript utility library delivering modularity, performance, & extras.

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JavaScript30

30 Day Vanilla JS Challenge

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33-js-concepts

📜 33 JavaScript concepts every developer should know.

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javascript-zh

Airbnb 出品，目前非常流行的 JavaScript 代码规范（中文版）。其内对各种 js 范式的写法进行了详细的规定与说明，按照此规范写出的代码将会更加合理。

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javascript

JavaScript Style Guide

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animate.css

🍿 A cross-browser library of CSS animations. As easy to use as an easy thing.

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technology-blog

个人博客，前端技术收集，一起共同学习与成长

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hexo

A fast, simple & powerful blog framework, powered by Node.js.

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v8

The official mirror of the V8 Git repository

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clean-code-javascript

:bathtub: Clean Code concepts adapted for JavaScript

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30-seconds-of-code

Short code snippets for all your development needs

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blog

前端基础，深入以及算法数据结构

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fe-interview

前端面试每日 3+1，以面试题来驱动学习，提倡每日学习与思考，每天进步一点！每天早上5点纯手工发布面试题（死磕自己，愉悦大家），6000+道前端面试题全面覆盖，HTML/CSS/JavaScript/Vue/React/Nodejs/TypeScript/ECMAScritpt/Webpack/Jquery/小程序/软技能……

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books

电子书收藏

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javascript-questions

A long list of (advanced) JavaScript questions, and their explanations :sparkles:

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You-Dont-Know-JS

A book series on JavaScript. @YDKJS on twitter.

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javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

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Front-End-Interview-Notebook

:ant:前端面试复习笔记

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Web

千古前端图文教程，超详细的前端入门到进阶知识库。从零开始学前端，做一名精致优雅的前端工程师。

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best-chinese-front-end-blogs

收集优质的中文前端博客

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resume

1分钟构建个人的在线简历

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InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

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CAM

Class Activation Mapping

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CheXpert_Baseline_PyTorch

A simple baseline model for CheXpert - DenseNet121. Contain train and test module. Also a simple and easy-used deep learning framework by PyTorch!

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Chexpert

Top 1 solution of Chexpert

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nih-chest-xray

Identifying diseases in chest X-rays using convolutional neural networks

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CheXNet

A pytorch reimplementation of CheXNet

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mpitutorial

MPI programming lessons in C and executable code examples

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Theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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