My-Blog: 🌴:octocat:A simple & beautiful blogging system implemented with spring-boot & thymeleaf & mybatis My Blog 是由 SpringBoot + Mybatis + Thymeleaf 等技术实现的 Java 博客系统，页面美观、功能齐全、部署简单及完善的代码，一定会给使用者无与伦比的体验

jsoup: Java HTML Parser

JavaGuide: 【Java学习+面试指南】一份涵盖大部分Java程序员所需要掌握的核心知识。

MusicPlayer: Desktop Music Player for Windows and Mac using JavaFX/Java 8

giffun: 一款开源的GIF在线分享App，乐趣就要和世界分享。

symphony: 🎶 A modern community (forum/BBS/SNS/blog) platform implemented in Java. 一款用 Java 实现的现代化社区（论坛/BBS/社交网络/博客）平台。

cim: 📲cim(cross IM) 适用于开发者的分布式即时通讯系统

advanced-java: 😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

Go

Learn Go Programming - Golang Tutorial for Beginners

gogs: 用 Go 写的一款极易搭建的自助 Git 服务，支持所有平台。就像 GitLab 一样的服务，但是 GitLab 是基于 ruby 语言的。另外：完善的中文文档、支持 Go 语言支持的所有平台，包括 Linux、Mac OS X、Windows 以及 ARM 平台。

pan-light: 百度网盘不限速客户端, golang + qt5, 跨平台图形界面

unioffice: Pure go library for creating and processing Office Word (.docx), Excel (.xlsx) and Powerpoint (.pptx) documents.

geziyor: Geziyor, a fast web crawling & scraping framework for Go. Supports JS rendering.

annie: 👾 Fast, simple and clean video downloader

7days-golang: 7 days golang apps from scratch

Ruby

discourse: A platform for community discussion.

JavaScript

JavaScript Tutorial

The Modern JavaScript Tutorial

JavaScript教程

cdfang-spider: 成都房协网爬虫，可视化数据分析

request: 🏊🏾 Simplified HTTP request client.

vanillawebprojects: Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries.

Learn-Vue-Source-Code: 🔥 🔥逐行剖析Vue.js源码在线阅读地址https://nlrx-wjc.github.io/Learn-Vue-Source-Code/

Node.js

How to start a Node.js project

Express web framework (Node.js/JavaScript)

Swift

Swift-30-Projects: 30 mini Swift Apps for self-study.

Matlab

A Quick Tutorial on MATLAB

Introduction to MATLAB: This is an accelerated introduction to MATLAB® and its popular toolboxes. Lectures are interactive, with students conducting sample MATLAB problems in real time. The course includes problem-based MATLAB assignments. Students must provide their own laptop and software. This is great preparation for classes that use MATLAB.

Introduction To MATLAB Programming: This course is intended to assist undergraduates with learning the basics of programming in general and programming MATLAB® in particular.

Linux

The Best Linux Tutorials

Linux工具快速教程

The Linux Command Line

Unix & Linux大学教程

Linux Tutorial

Docker

Docker 入门教程

Docker 微服务教程

Coding

Google 开源项目风格指南

Learning-SICP: MIT视频公开课《计算机程序的构造和解释》中文化项目及课程学习资料搜集。

提問的智慧: 本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。

游戏

Game Engine

Elasticsearch

Elasticsearch: 权威指南

Data Structure & Algorithms

What is your strategy for learning data structures and algorithms?

The BEST way to learn Data Structures and Algorithms

Problem Solving with Algorithms and Data Structures using Python

Learn data structures from scratch in C, Java and Python

CS 61B Data Structures, Fall 2019

Stanford Algorithm Part 1 and Part 2

邓俊辉数据结构(上) 和数据结构(下) 数据结构(C++语言版)

陈越何钦铭数据结构

Data Structure by Saurabh Shukla Sir - YouTube

Data Structures Tutorial Videos | Mr. Srinivas - YouTube

Introduction to Algorithms

Design and Analysis of Algorithms

Advanced Algorithms

Math

麻省理工学院公开课：单变量微积分和麻省理工学院公开课：单变量微积分习题课

麻省理工学院公开课：多变量微积分和麻省理工学院公开课：多变量微积分习题课

麻省理工公开课：线性代数和麻省理工学院公开课：MIT线性代数习题课

麻省理工学院公开课：微分方程

葉丙成頑想學概率：機率一和頑想學概率：機率二

Intro to Descriptive Statistics

Intro to Inferential Statistics

马昱春组合数学

Kaggle

The Beginner’s Guide to Kaggle

Generative Adversarial Networks

AdversarialNetsPapers: The classical paper list with code about generative adversial nets.

Keras-GAN: Keras implementations of Generative Adversarial Networks.

Action Recognition

Awesome Action Recognition: A curated list of action recognition and related area resources.

Tensorflow

Tensorflow-Cookbook: Simple Tensorflow Cookbook for easy-to-use

Machine Learning

Machine Learning Andrew Ng Notes

CS229: Machine Learning

ML2017FALL

Machine Learing with Python

CSE 599W: Systems for ML

Python Data Science Handbook

40 Must-Read AI / Machine Learning Blogs

MLAlgorithms: Minimal and clean examples of machine learning algorithms implementations.

Recommendation System

Comprehensive Guide to build a Recommendation Engine from scratch (in Python)

Matplotlib

Matplotlib tutorial

Reinforcement Learning

Deep Reinforcement Learning

Deep RL Bootcamp

Deep Reinforcement Learning Course: A Free course in Deep Reinforcement Learning from beginner to expert.

Deep Learning

Dive into Deep Learning: An interactive deep learning book with code, math, and discussions. Provides both NumPy/MXNet and PyTorch implementations

Practical Deep Learning for Coders

深度学习入门：基于Python的理论与实现

Neural Networks and Deep Learning

Keras and Convolutional Neural Networks (CNNs)

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。

MIT 6.S191 Introduction to Deep Learning: MIT's official introductory course on deep learning methods with applications in robotics, and more!

CV

CS231n: Convolutional Neural Networks for Visual Recognition

NLP

CS224d: Deep Learning for Natural Language Processing

CS224n: Natural Language Processing with Deep Learning

nlp_course: YSDA course in Natural Language Processing

Anomaly Detection

anomaly-detection-resources: Anomaly detection related books, papers, videos, and toolboxes

Self-Driving Cars

MIT 6.S094: Deep Learning for Self-Driving Cars

哲学

哈佛大学公开课：公正-该如何做是好？

耶鲁大学公开课：哲学-死亡

心理

哈佛大学公开课：幸福课

Youtube

Gate Lectures by Ravindrababu Ravula

Derek Banas: I make tutorials based on your requests. I will cover any topic you can imagine. I upload new programming videos on Saturday and Wednesday morning. I Live Stream at 8PM EST on Monday and at 7PM EST on Tuesday, Thursday and Friday.

sentdex: Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.

The Cherno

freeCodeCamp.org: We're an open source community of busy people who learn to code and build projects for nonprofits.

StatQuest with Josh Starmer: Statistics, Machine Learning and Data Science can sometimes seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy to understand pieces. That said, I don't dumb down the material. Instead, I build up your understanding so that you are smarter.

Numberphile: Videos about numbers - it's that simple.

TED: The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. You're welcome to link to or embed these videos, forward them to others and share these ideas with people you know.

3Blue1Brown: 3blue1brown, by Grant Sanderson, is some combination of math and entertainment, depending on your disposition. The goal is for explanations to be driven by animations and for difficult problems to be made simple with changes in perspective.

CrashCourse: Tons of awesome courses in one awesome channel! Nicole Sweeney teaches you sociology, Carrie Anne Philbin teaches you computer science, Craig Benzine teaches film history, and Mike Rugnetta is teaching mythology! Check out the playlists for past courses in physics, philosophy, games, economics, U.S. government and politics, astronomy, anatomy & physiology, world history, biology, literature, ecology, chemistry, psychology, and U.S. history.

List

computer-science: 🎓 Path to a free self-taught education in Computer Science!

awesome-computer-vision: A curated list of awesome computer vision resources.

awesome-nlp: 📖 A curated list of resources dedicated to Natural Language Processing (NLP).

awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-courses: 📚 List of awesome university courses for learning Computer Science!

HelloGitHub: :octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目

jstraining: 全栈工程师培训材料

free-books: 互联网上的免费书籍

Spring Boot 学习资料汇总

SpringBoot-Labs: 一个涵盖六个专栏：Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、Dubbo、分布式消息队列、分布式事务的仓库。

ultimate-coding-resources: A collection of the best resources for programming, web development, computer science and more.

Teach Yourself Computer Science: If you’re a self-taught engineer or bootcamp grad, you owe it to yourself to learn computer science. Thankfully, you can give yourself a world-class CS education without investing years and a small fortune in a degree program 💸.

coding-interview-university: A complete computer science study plan to become a software engineer.

deep-learning-drizzle: Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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