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https://github.com/ninn-kou/Starry

🌟A collection of high-star repositories on GitHub. /* My bookmarks! */
https://github.com/ninn-kou/Starry
bookmarks books computer-science github hellogithub mathematics repository star
Last synced: 26 days ago
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🌟A collection of high-star repositories on GitHub. /* My bookmarks! */
Host: GitHub
URL: https://github.com/ninn-kou/Starry
Owner: ninn-kou
License: mit
Created: 2020-01-13T18:32:57.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2024-02-11T13:36:10.000Z (5 months ago)
Last Synced: 2024-02-29T09:08:24.058Z (4 months ago)
Topics: bookmarks, books, computer-science, github, hellogithub, mathematics, repository, star
Homepage:
Size: 179 KB
Stars: 8
Watchers: 1
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE
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awesome-stars - ninn-kou/Starry - 🌟A collection of high-star repositories on GitHub. /* My bookmarks! */ (mathematics)
README

        ## Starry

😆 *What is your favourite Repository on GitHub?*

Here is a list to help you find some interesting, significant and maybe *cute* projects.

The reasons why I choose these repositories are not only their ✨high stars💫 but also meaningful to me, who is a beginner in Computer Science. I hope it could be beneficial to you as well.

*The REPO which has a "👍🏻" following its name means this repo might be an elite.*

- [Starry](#starry)

  - [New](#new)

  - [Part 1: Codes/Sources](#part-1-codessources)

    - [1.1 Researching](#11-researching)

    - [1.2 Tools](#12-tools)

    - [1.3 Softwares and Frameworks](#13-softwares-and-frameworks)

    - [1.4 Artificial Intelligence](#14-artificial-intelligence)

      - [Computer Vision](#computer-vision)

      - [Graphics](#graphics)

      - [Deep Learning](#deep-learning)

      - [Machine Learning](#machine-learning)

      - [Natural Language Processing](#natural-language-processing)

    - [1.5 Formal Languages](#15-formal-languages)

    - [1.6 Blockchain](#16-blockchain)

    - [1.7 Computer Networks and Web Applications](#17-computer-networks-and-web-applications)

    - [1.8 Operating Systems](#18-operating-systems)

    - [1.9 Game Developments](#19-game-developments)

    - [1.10 Mathematics](#110-mathematics)

      - [Linear Algebra](#linear-algebra)

      - [Numerical Methods](#numerical-methods)

      - [Statistics](#statistics)

    - [1.11 Templates](#111-templates)

    - [1.12 Marvelous](#112-marvelous)

  - [Part 2: Learning Resources](#part-2-learning-resources)

    - [2.1 Programming Languages](#21-programming-languages)

      - [C](#c)

      - [Python](#python)

        - [NumPy](#numpy)

      - [Java](#java)

      - [JavaScript](#javascript)

      - [Swift](#swift)

      - [Go](#go)

    - [2.2 Data Structures and Algorithms](#22-data-structures-and-algorithms)

    - [2.3 Learning via Projects Building](#23-learning-via-projects-building)

    - [2.4 Aspects Guides and $PATH](#24-aspects-guides-and-path)

      - [Compilers](#compilers)

      - [Data Science](#data-science)

      - [Object-oriented Programming](#object-oriented-programming)

      - [System Design](#system-design)

      - [Video Games](#video-games)

      - [Web Developments amd Networks](#web-developments-amd-networks)

      - [Database Documents](#database-documents)

      - [Operating System Tutorials](#operating-system-tutorials)

      - [Reverse Engineering](#reverse-engineering)

      - [Regex](#regex)

      - [Markdown, LaTeX, and README Files](#markdown-latex-and-readme-files)

      - [Git and Command Line Commands](#git-and-command-line-commands)

    - [2.5 Comprehensive Computer Science](#25-comprehensive-computer-science)

    - [2.6 Interview and Opportunities](#26-interview-and-opportunities)

    - [2.7 Code Styles](#27-code-styles)

    - [2.8 Blogs and Learning Notes](#28-blogs-and-learning-notes)

    - [2.9 News and Forums](#29-news-and-forums)

  - [Part 3: Computer Irrelevant Repos](#part-3-computer-irrelevant-repos)

--------------------------------------------------------------------------------

### New

* [**tenacity**](https://github.com/tenacityteam/tenacity) 
 Tenacity is an easy-to-use, privacy-friendly, FLOSS, cross-platform multi-track audio editor/recorder for Windows, macOS, Linux and other operating systems. Contributions welcome! 

* [**AppleNeuralHash2ONNX**](https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX) 
 Convert Apple NeuralHash model for CSAM Detection to ONNX.

* [**a-picture-is-worth-a-1000-words**](https://github.com/girliemac/a-picture-is-worth-a-1000-words) 
 I am trying to describe complex matters in simple doodles!

* [**copilot-docs**](https://github.com/github/copilot-docs) 
 Documentation for GitHub Copilot 

* [**powerlevel10k**](https://github.com/romkatv/powerlevel10k) 
 A Zsh theme.

* [**zsh-syntax-highlighting**](https://github.com/zsh-users/zsh-syntax-highlighting) 
 Fish shell like syntax highlighting for Zsh.

* [**zsh-autosuggestions**](https://github.com/zsh-users/zsh-autosuggestions) 
 Fish-like autosuggestions for zsh.

* [**dracula-theme**](https://github.com/dracula/dracula-theme) 
 🧛🏻‍♂️ One theme. All platforms. 

* [**OI-wiki**](https://github.com/OI-wiki/OI-wiki) 
 🌟 Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）

* [**svox2**](https://github.com/sxyu/svox2) 
 Plenoxels: Radiance Fields without Neural Networks, Code release WIP

* [**aseprite**](https://github.com/aseprite/aseprite) 
 Animated sprite editor & pixel art tool (Windows, macOS, Linux)

* [**pytest**](https://github.com/pytest-dev/pytest) 
 The pytest framework makes it easy to write small tests, yet scales to support complex functional testing 

* [**machine-learning-experiments**](https://github.com/trekhleb/machine-learning-experiments) 
 🤖 Interactive Machine Learning experiments: 🏋️ models training + 🎨 models demo 

* [**AI-Expert-Roadmap**](https://github.com/AMAI-GmbH/AI-Expert-Roadmap) 
 Roadmap to becoming an Artificial Intelligence Expert in 2022 

* [**penkesu**](https://github.com/penk/penkesu) 
 Penkesu Computer - A Homebrew Retro-style Handheld PC 

* [**videos**](https://github.com/3b1b/videos) 
 Code for the manim-generated scenes used in 3blue1brown videos.

* [**grafana**](https://github.com/grafana/grafana) 
 The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more. 

* [**a32nx**](https://github.com/flybywiresim/a32nx) 
 The A32NX Project is a community driven open source project to create a free Airbus A320neo in Microsoft Flight Simulator that is as close to reality as possible. 

* [**ml-cvnets**](https://github.com/apple/ml-cvnets) 
 CVNets: A library for training computer vision networks. 

* [**mathematicalpython**](https://github.com/patrickwalls/mathematicalpython) 
 Introduction to Mathematical Computing with Python and Jupyter. 

* [**awesome-for-beginners**](https://github.com/MunGell/awesome-for-beginners) 
 A list of awesome beginners-friendly projects.

* [**pywal**](https://github.com/dylanaraps/pywal) 
 🎨 Generate and change color-schemes on the fly.

* [**learnxinyminutes-docs**](https://github.com/adambard/learnxinyminutes-docs) 
 Code documentation written as code! How novel and totally my idea!

* [**stack**](https://github.com/commercialhaskell/stack) 
 The Haskell Tool Stack.

* [**star-history**](https://github.com/star-history/star-history) 
 The missing star history graph of GitHub repos - 

* [**hackingtool**](https://github.com/Z4nzu/hackingtool) 
 ALL IN ONE Hacking Tool For Hackers.

* [**hello-algo**](https://github.com/krahets/hello-algo) 
 《Hello 算法》一本动画图解、能运行、可提问的数据结构与算法入门书，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Zig 等语言。

* [**hello-algorithm**](https://github.com/geekxh/hello-algorithm) 
 🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）点击下方网站，马上开始刷题！

* [**Reactive-Resume**](https://github.com/AmruthPillai/Reactive-Resume) 
 A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

* [**tuning_playbook**](https://github.com/google-research/tuning_playbook) 
 A playbook for systematically maximizing the performance of deep learning models.

* [**decky-loader**](https://github.com/SteamDeckHomebrew/decky-loader) 
 A plugin loader for the Steam Deck.

* [**probabilitydistributiontoolbox**](https://github.com/ccanonne/probabilitydistributiontoolbox) 
 Folklore facts on probability distribution learning, testing, and whatever-ing.

* [**awesome-chatgpt-prompts**](https://github.com/f/awesome-chatgpt-prompts) 
 This repo includes ChatGPT prompt curation to use ChatGPT better.

* [**d2l-en**](https://github.com/d2l-ai/d2l-en) 
 Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

* [**d2l-zh**](https://github.com/d2l-ai/d2l-zh) 
 《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

* [**rustdesk**](https://github.com/rustdesk/rustdesk) 
 Virtual / remote desktop infrastructure for everyone! Open source TeamViewer / Citrix alternative.

* [**typst**](https://github.com/typst/typst) 
 A new markup-based typesetting system that is powerful and easy to learn.

* [**wavefunctioncollapse**](https://github.com/marian42/wavefunctioncollapse) 
 Walk through an infinite, procedurally generated city.

* [**WaveFunctionCollapse**](https://github.com/mxgmn/WaveFunctionCollapse) 
 Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.

* [**openai-cookbook**](https://github.com/openai/openai-cookbook) 
 Examples and guides for using the OpenAI API.

* [**the-algorithm**](https://github.com/twitter/the-algorithm) 
 Source code for Twitter's Recommendation Algorithm.

* [**ML-Papers-of-the-Week**](https://github.com/dair-ai/ML-Papers-of-the-Week) 
 🔥Highlighting the top ML papers every week.

* [**Prompt-Engineering-Guide**](https://github.com/dair-ai/Prompt-Engineering-Guide) 
 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

* [**segment-anything**](https://github.com/facebookresearch/segment-anything) 
 The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

* [**gpt_academic**](https://github.com/binary-husky/gpt_academic) 
 为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

* [**SciencePlots**](https://github.com/garrettj403/SciencePlots) 
 Matplotlib styles for scientific plotting.

--------------------------------------------------------------------------------

### Part 1: Codes/Sources

#### 1.1 Researching

* [**Alaska**](https://github.com/manlius/Alaska) 
 Multiplex network data used in the paper "Multiplex social ecological network analysis reveals how social changes affect community robustness more than resource depletion".

* [**annotated_deep_learning_paper_implementations**](https://github.com/labmlai/annotated_deep_learning_paper_implementations) 
 🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠 

* [**awesome-decision-tree-papers**](https://github.com/benedekrozemberczki/awesome-decision-tree-papers) 
 A collection of research papers on decision, classification and regression trees with implementations.

* [**birankr**](https://github.com/BrianAronson/birankr) 
 CRAN package for estimating various rank (centrality) measures of nodes in bipartite graphs (two-mode networks).

* [**Complex-Network**](https://github.com/LiuChuang0059/Complex-Network) 
 复杂网络研究资源整理和基础知识学习。

* [**datasets**](https://github.com/benedekrozemberczki/datasets) 
 A repository of pretty cool datasets that I collected for network science and machine learning research.

* [**DBMS-Indexology**](https://github.com/yingjunwu/DBMS-Indexology) 
 A Collection of Papers on Database Index Structures.

* [**FakeNewsNet**](https://github.com/KaiDMML/FakeNewsNet) 
 This is a dataset for fake news detection research Resources.

* [**GNNPapers**](https://github.com/thunlp/GNNPapers) 
 Must-read papers on graph neural networks (GNN).

* [**IMGUR5K-Handwriting-Dataset**](https://github.com/facebookresearch/IMGUR5K-Handwriting-Dataset) 
 IMGUR5K handwriting set. It is a handwritten in-the-wild dataset, which contains challenging real world handwritten samples from different writers.The dataset is shared as a set of image urls with annotations. This code downloads the images and verifies the hash to the image to avoid data contamination.

* [**MultiRank**](https://github.com/ginestrab/MultiRank) 
 Implementation of the paper *Centralities of Nodes and Influences of Layers in Large Multiplex Networks* in MATLAB.

* [**MultiRank**](https://github.com/ginestrab/MultiRank) 
 This repository comprizes all the MATLAB files implementing the MultiRank algorithm to rank nodes and layers in large multiplex networks.

* [**MultiVERSE**](https://github.com/LPioL/MultiVERSE) 
 Embedding of Monoplex, Multiplex, Heterogeneous, Multiplex-Heterogeneous and full Multiplex-Heterogeneous Networks.

* [**MUSAE**](https://github.com/benedekrozemberczki/MUSAE) 
 The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021) 

* [**network-science**](https://github.com/netspractice/network-science) 
 This repository contains practical assignments for courses "Network Science" and "Structural Analysis and Visualization of Networks" at HSE university.

* [**papers-we-love**](https://github.com/papers-we-love/papers-we-love) 
 Papers from the computer science community to read and discuss. 

* [**projected_gan**](https://github.com/autonomousvision/projected_gan) 
 [NeurIPS'21] Projected GANs Converge Faster

* [**pwc**](https://github.com/zziz/pwc) 
 Papers with code. Sorted by stars. Updated weekly. *Note: This repo was not maintained anymore after 2018.*

* [**transferlearning**](https://github.com/jindongwang/transferlearning) 
 Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials. 

#### 1.2 Tools

* [**algo**](https://github.com/trailofbits/algo) 
 Set up a personal VPN in the cloud 

* [**algorithm-visualizer**](https://github.com/algorithm-visualizer/algorithm-visualizer) 
 Interactive Online Platform that Visualizes Algorithms from Code.

* [**badges**](https://github.com/boennemann/badges) 
 🎴 Readme Badges – Gotta catch 'em all.

* [**black**](https://github.com/psf/black) 
 The uncompromising Python code formatter.

* [**ComicBook**](https://github.com/lossme/ComicBook) 
 漫画爬虫、漫画下载工具、图集下载工具、漫画API，支持腾讯漫画、哔哩哔哩漫画、有妖气漫画、快看漫画、漫画柜等站点。

* [**Cyberbrain**](https://github.com/laike9m/Cyberbrain) 
 Python debugging, redefined.

* [**github-markdown-toc**](https://github.com/ekalinin/github-markdown-toc) 
 Easy TOC creation for GitHub README.md.

* [**iTerm2-Color-Schemes**](https://github.com/mbadolato/iTerm2-Color-Schemes) 
 Over 200 terminal color schemes/themes for iTerm/iTerm2.

* [**lite-xl**](https://github.com/lite-xl/lite-xl) 
 A lightweight text editor written in Lua.

* [**IguanaTex**](https://github.com/Jonathan-LeRoux/IguanaTex) 
 A PowerPoint add-in allowing you to insert LaTeX equations into PowerPoint presentations on Windows and Mac.

* [**logoly**](https://github.com/bestony/logoly) 
 A Pornhub Flavour Logo Generator.

* [**manim**](https://github.com/3b1b/manim) 
 Animation engine for explanatory math videos.

* [**manim**](https://github.com/ManimCommunity/manim) 
 A community-maintained Python framework for creating mathematical animations. 

* [**mathquill**](https://github.com/mathquill/mathquill) 
 Easily type math in your webapp.

* [**ohmyzsh**](https://github.com/ohmyzsh/ohmyzsh) 
 🙃 A delightful community-driven (with nearly 1,500 contributors) framework for managing your zsh configuration.

* [**setup-ipsec-vpn**](https://github.com/hwdsl2/setup-ipsec-vpn) 
 Scripts to build your own IPsec VPN server, with IPsec/L2TP and Cisco IPsec on Ubuntu, Debian and CentOS.

* [**slidev**](https://github.com/slidevjs/slidev) 
 Presentation Slides for Developers (Beta) 

* [**thefuck**](https://github.com/nvbn/thefuck) 
 Magnificent app which corrects your previous console command.

* [**UTM**](https://github.com/utmapp/UTM) 
 Virtual machines for iOS. 

* [**vscode-math-to-image**](https://github.com/TeamMeow/vscode-math-to-image) 
 📐 Render LaTeX math equations in any Markdown file!

* [**youtube-dl**](https://github.com/ytdl-org/youtube-dl) 
 Command-line program to download videos from YouTube.com and other video sites.

* [**YYeTsBot**](https://github.com/tgbot-collection/YYeTsBot) 
 🎬 人人影视bot，完全对接人人影视全部无删减资源。 

* [**zdog**](https://github.com/metafizzy/zdog) 
 Flat, round, designer-friendly pseudo-3D engine for canvas & SVG.

#### 1.3 Softwares and Frameworks

* [**brew**](https://github.com/Homebrew/brew) 
 🍺 The missing package manager for macOS (or Linux).

* [**deskreen**](https://github.com/pavlobu/deskreen) 
 Deskreen turns any device with a web browser into a secondary screen for your computer.

* [**desktop**](https://github.com/desktop/desktop) 
 Simple collaboration from your desktop.

* [**drawio-desktop**](https://github.com/jgraph/drawio-desktop) 


* [**drawio**](https://github.com/jgraph/drawio) 


* [**iTerm2**](https://github.com/gnachman/iTerm2) 
 iTerm2 is a terminal emulator for Mac OS X that does amazing things.

* [**jupyter**](https://github.com/jupyter/jupyter) 
 [**GitHub Wiki**](https://github.com/jupyter/jupyter/wiki) [**Web Page**](https://jupyter.org) Jupyter metapackage for installation, docs and chat.

* [**omi**](https://github.com/Tencent/omi) 
 Front End Cross-Frameworks Framework * 前端跨框架跨平台框架.

* [**photoprism**](https://github.com/photoprism/photoprism) 
 About Personal Photo Management powered by Go and Google TensorFlow.

* [**reveal.js**](https://github.com/hakimel/reveal.js) 
 The HTML Presentation Framework.

* [**tigervnc**](https://github.com/TigerVNC/tigervnc) 
 High performance, multi-platform VNC client and server.

* [**uno**](https://github.com/unoplatform/uno) 
 Build Mobile, Desktop and WebAssembly apps with C## and XAML. Today. Open source and professionally supported. 

* [**vscode**](https://github.com/microsoft/vscode) 
 Visual Studio Code 

#### 1.4 Artificial Intelligence

##### Computer Vision

* [**computer-vision-basics-in-microsoft-excel**](https://github.com/amzn/computer-vision-basics-in-microsoft-excel) 
 Computer Vision Basics in Microsoft Excel (using just formulas).

* [**macOCR**](https://github.com/schappim/macOCR) 
 Get any text on your screen into your clipboard.

* [**openpilot**](https://github.com/commaai/openpilot) 
 openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 100 supported car makes and models.

##### Graphics

* [**graphics-workshop**](https://github.com/ekzhang/graphics-workshop) 
 Learn computer graphics by writing GPU shaders!

* [**pytorch-CycleGAN-and-pix2pix**](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) 
 Image-to-Image Translation in PyTorch.

* [**taichi**](https://github.com/taichi-dev/taichi) 
 Taichi programming language by [**Yuanming Hu**](https://github.com/yuanming-hu).

##### Deep Learning

* [**Real-Time-Voice-Cloning**](https://github.com/CorentinJ/Real-Time-Voice-Cloning) 
 Clone a voice in 5 seconds to generate arbitrary speech in real-time.

##### Machine Learning

* [**100-Days-Of-ML-Code**](https://github.com/Avik-Jain/100-Days-Of-ML-Code) 
 100 Days of ML Coding.

* [**apachecn-dl-zh**](https://github.com/apachecn/apachecn-dl-zh) 
 ApacheCN 深度学习译文集 

* [**machine_learning_beginner**](https://github.com/fengdu78/machine_learning_beginner) 
 机器学习初学者公众号作品。

* [**Machine-Learning-Flappy-Bird**](https://github.com/ssusnic/Machine-Learning-Flappy-Bird) 
 Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm.

* [**ML-For-Beginners**](https://github.com/microsoft/ML-For-Beginners) 
 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all. 

* [**WZU-machine-learning-course**](https://github.com/fengdu78/WZU-machine-learning-course) 
 温州大学《机器学习》课程资料（代码、课件等）。

##### Natural Language Processing

* [**NLP-Conferences-Code**](https://github.com/yizhen20133868/NLP-Conferences-Code) 
 NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI).

* [**textgenrnn**](https://github.com/minimaxir/textgenrnn) 
 Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

#### 1.5 Formal Languages

* [**chibicc**](https://github.com/rui314/chibicc) 
 A small C compiler.

* [**dongbei**](https://github.com/zhanyong-wan/dongbei) 
 东北方言编程语言。

* [**go**](https://github.com/golang/go) 
 The Go programming language 

* [**julia**](https://github.com/JuliaLang/julia) 
 The Julia Programming Language. 

* [**linguist**](https://github.com/github/linguist) 
 Language Savant. If your repository's language is being reported incorrectly, send us a pull request!

* [**pua-lang**](https://github.com/flaneur2020/pua-lang) 
 A dialect of The Monkey Programming Language.

* [**SpellGCN**](https://github.com/ACL2020SpellGCN/SpellGCN) 
 SpellGCN 

* [**swift**](https://github.com/apple/swift) 
 The Swift Programming Language.

* [**TypeScript**](https://github.com/microsoft/TypeScript) 
 TypeScript is a superset of JavaScript that compiles to clean JavaScript output. 

#### 1.6 Blockchain

* [**chia-blockchain**](https://github.com/Chia-Network/chia-blockchain) 
 Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet).

#### 1.7 Computer Networks and Web Applications

* [**BrowserQuest**](https://github.com/mozilla/BrowserQuest) 
 A HTML5/JavaScript multiplayer game experiment.

* [**flask**](https://github.com/pallets/flask) 
 The Python micro framework for building web applications. 

* [**httprunner**](https://github.com/httprunner/httprunner) 
 One-stop solution for HTTP(S) testing.

#### 1.8 Operating Systems

* [**l4v**](https://github.com/seL4/l4v) 
 seL4 specification and proofs.

* [**linux**](https://github.com/torvalds/linux) 
 Linux kernel source tree.

* [**seL4**](https://github.com/seL4/seL4) 
 The seL4 microkernel. 

#### 1.9 Game Developments

* [**2048**](https://github.com/gabrielecirulli/2048) 
 A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)

* [**ActionRoguelike**](https://github.com/tomlooman/ActionRoguelike) 
 Third-person Action Roguelike made in Unreal Engine C++ (for Stanford CS193U 2020).

* [**coffee-gb**](https://github.com/trekawek/coffee-gb) 
 Gameboy emulator in Java 8.

* [**DOOM**](https://github.com/id-Software/DOOM) 
 DOOM Open Source Release.

* [**lifeRestart**](https://github.com/VickScarlet/lifeRestart) 
 やり直すんだ。そして、次はうまくやる。

* [**mgba**](https://github.com/mgba-emu/mgba) 
 mGBA Game Boy Advance Emulator. 

* [**Mindustry**](https://github.com/Anuken/Mindustry) 
 A sandbox tower defense game. 

* [**OpenEmu**](https://github.com/OpenEmu/OpenEmu) 
 🕹 Retro video game emulation for macOS.

* [**OpenTTD**](https://github.com/OpenTTD/OpenTTD) 
 OpenTTD is an open source simulation game based upon Transport Tycoon Deluxe. 

* [**PyBoy**](https://github.com/Baekalfen/PyBoy) 
 Game Boy emulator written in Python.

* [**si78c**](https://github.com/loadzero/si78c) 
 si78c is a memory accurate reimplementation of Space Invaders in C.

* [**workadventure**](https://github.com/thecodingmachine/workadventure) 
 A collaborative web application (virtual office) presented as a 16-bit RPG video game.

#### 1.10 Mathematics

##### Linear Algebra

* [**MATH54**](https://github.com/lin-lin/MATH54) 
 🐻 UC Berkeley Math 54: Linear Algebra & Differential Equations in Spring 2020.

* [**MIT-Linear-Algebra-Notes**](https://github.com/yizhen20133868/MIT-Linear-Algebra-Notes) 
 Notes for MIT-Linear-Algebra.

* [**The-Art-of-Linear-Algebra**](https://github.com/kenjihiranabe/The-Art-of-Linear-Algebra) 
 Graphic notes on Gilbert Strang's "Linear Algebra for Everyone".

##### Numerical Methods

* [**numpy**](https://github.com/numpy/numpy) 
 The fundamental package for scientific computing with Python. 

##### Statistics

* [**Probabilistic-Programming-and-Bayesian-Methods-for-Hackers**](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) 
 aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

#### 1.11 Templates

* [**acmart**](https://github.com/borisveytsman/acmart) 
 ACM consolidated LaTeX styles.

* [**Awesome-CV**](https://github.com/posquit0/Awesome-CV) 
 📄 Awesome CV is LaTeX template for your outstanding job application.

* [**online-cv**](https://github.com/sharu725/online-cv) 
 A minimal Jekyll Theme to host your resume (CV). 

#### 1.12 Marvelous

* [**Apollo-11**](https://github.com/chrislgarry/Apollo-11) 
 Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

--------------------------------------------------------------------------------

### Part 2: Learning Resources

#### 2.1 Programming Languages

##### C

* [**awesome-c-cn**](https://github.com/jobbole/awesome-c-cn) 
 C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。

* [**awesome-c**](https://github.com/aleksandar-todorovic/awesome-c) 
 Continuing the development of awesome-c list on GitHub.

##### Python

* [**30-Days-Of-Python**](https://github.com/Asabeneh/30-Days-Of-Python) 
 30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

* [**awesome-python**](https://github.com/vinta/awesome-python) 
 A curated list of awesome Python frameworks, libraries, software and resources.

* [**learn_python3_spider**](https://github.com/wistbean/learn_python3_spider) 
 python爬虫教程系列，从0到1学习python爬虫。

* [**learn-python**](https://github.com/trekhleb/learn-python) 
 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

* [**practical-python**](https://github.com/dabeaz-course/practical-python) 
 [**Online**](https://dabeaz-course.github.io/practical-python/Notes/Contents.html) The heart of an instructor-led Python training course used for corporate training and professional development.

* [**Python-100-Days**](https://github.com/jackfrued/Python-100-Days) 
 Python - 100天从新手到大师。

* [**python-cheatsheet**](https://github.com/gto76/python-cheatsheet) 
 Comprehensive Python Cheatsheet 

* [**python-guide**](https://github.com/realpython/python-guide) 
 [**Web Page**](https://docs.python-guide.org/) Python best practices guidebook, written for humans.

* [**python-small-examples**](https://github.com/jackzhenguo/python-small-examples) 
 告别枯燥，致力于打造 Python 实用小例子。

* [**Python**](https://github.com/geekcomputers/Python) 
 My Python Examples. 

* [**Python**](https://github.com/TwoWater/Python) 
 最良心的 Python 教程。

* [**wtfpython-cn**](https://github.com/leisurelicht/wtfpython-cn) 
 wtfpython的中文翻译。

* [**wtfpython**](https://github.com/satwikkansal/wtfpython) 
 If you think you know Python, think once more!

###### NumPy

* [**numpy-100**](https://github.com/rougier/numpy-100) 
 100 numpy exercises (with solutions).

##### Java

* [**awesome-java**](https://github.com/akullpp/awesome-java) 
 A curated list of awesome frameworks, libraries and software for the Java programming language.

##### JavaScript

* [**30-Days-Of-JavaScript**](https://github.com/Asabeneh/30-Days-Of-JavaScript) 
 30 days of JavaScript programming challenge is a step by step guide to learn JavaScript programming language in 30 days. This challenge may take up to 100 days, please just follow your own pace.

* [**30-seconds-of-code**](https://github.com/30-seconds/30-seconds-of-code) 
 Short JavaScript code snippets for all your development needs. 

* [**You-Dont-Need-JavaScript**](https://github.com/you-dont-need/You-Dont-Need-JavaScript) 
 CSS is powerful, you can do a lot of things without JS.

##### Swift

* [**open-source-ios-apps**](https://github.com/dkhamsing/open-source-ios-apps) 
 📱 Collaborative List of Open-Source iOS Apps.

##### Go

* [**book**](https://github.com/qyuhen/book) 
 编程语言学习笔记。

#### 2.2 Data Structures and Algorithms

* [**AArch64_Assembly**](https://github.com/TheAlgorithms/AArch64_Assembly) 
 All Algorithms implemented in AArch64 Assembly.

* [**algorithm-base**](https://github.com/chefyuan/algorithm-base) 
 专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

* [**algorithm-pattern**](https://github.com/greyireland/algorithm-pattern) 
 算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

* [**Algorithms**](https://github.com/williamfiset/Algorithms) 
 A collection of algorithms and data structures.

* [**C**](https://github.com/TheAlgorithms/C) 
 [Website](https://thealgorithms.github.io/C/) Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

* [**fucking-algorithm**](https://github.com/labuladong/fucking-algorithm) 
 [GitBook](https://labuladong.gitbook.io/algo/) 手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

* [**Java**](https://github.com/TheAlgorithms/Java) 
 All Algorithms implemented in Java.

* [**javascript-algorithms**](https://github.com/trekhleb/javascript-algorithms) 
 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings.

* [**Jupyter**](https://github.com/TheAlgorithms/Jupyter) 
 The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.

* [**Learn-Algorithms**](https://github.com/nonstriater/Learn-Algorithms) 
 算法学习笔记。

* [**LeetCode-Go**](https://github.com/halfrost/LeetCode-Go) 
 [LeetCode Cookbook](https://books.halfrost.com/leetcode/) ✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

* [**leetcode-master**](https://github.com/youngyangyang04/leetcode-master) 
 LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

* [**leetcode**](https://github.com/azl397985856/leetcode) 
 [E-Books](http://lucifer.ren/leetcode/LeetCode) Solutions: A Record of My Problem Solving Journey. (leetcode题解，记录自己的leetcode解题之路。)

* [**leetcode**](https://github.com/begeekmyfriend/leetcode) 
 LeetCode in pure C.

* [**leetcode**](https://github.com/doocs/leetcode) 
 😏 LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解。

* [**leetcode**](https://github.com/soulmachine/leetcode) 
 LeetCode题解，151道题完整版。

* [**LeetCodeAnimation**](https://github.com/MisterBooo/LeetCodeAnimation) 
 Demonstrate all the questions on LeetCode in the form of animation./用动画的形式呈现解LeetCode题目的思路。

* [**MATLAB-Octave**](https://github.com/TheAlgorithms/MATLAB-Octave) 
 This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

* [**Python**](https://github.com/TheAlgorithms/Python) 
 All Algorithms implemented in Python.

* [**The-Art-Of-Programming-By-July**](https://github.com/julycoding/The-Art-Of-Programming-By-July) 
 本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售。

#### 2.3 Learning via Projects Building

* [**500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code**](https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code) 
 500 AI Machine learning Deep learning Computer vision NLP Projects with code.

* [**500LineorLess_CN**](https://github.com/HT524/500LineorLess_CN) 
 500 line or less 中文翻译计划。

* [**500lines**](https://github.com/aosabook/500lines) 
 500 Lines or Less.

* [**app-ideas**](https://github.com/florinpop17/app-ideas) 
 A Collection of application ideas which can be used to improve your coding skills.

* [**build-your-own-x**](https://github.com/danistefanovic/build-your-own-x) 
 🤓 Build your own (insert technology here).

* [**project-based-learning**](https://github.com/tuvtran/project-based-learning) 
 Curated list of project-based tutorials.

* [**Projects-Solutions**](https://github.com/karan/Projects-Solutions) 
 📟 Links to others' solutions to Projects. 

* [**Projects**](https://github.com/karan/Projects) 
 📃 A list of practical projects that anyone can solve in any programming language.

#### 2.4 Aspects Guides and $PATH

##### Compilers

* [**acwj**](https://github.com/DoctorWkt/acwj) 
 A Compiler Writing Journey.

##### Data Science

* [**PythonDataScienceHandbook**](https://github.com/jakevdp/PythonDataScienceHandbook) 
 Python Data Science Handbook: full text in Jupyter Notebooks 

* [**Data-Science-For-Beginners**](https://github.com/microsoft/Data-Science-For-Beginners) 
 10 Weeks, 20 Lessons, Data Science for All! 

##### Object-oriented Programming

* [**design_patterns**](https://github.com/me115/design_patterns) 
 图说设计模式。

* [**design-patterns-explained-with-food**](https://github.com/wesdoyle/design-patterns-explained-with-food) 
 GoF Design Patterns with "Real-World" examples involving Food-Related Businesses and mock dependencies.

##### System Design

* [**system-design-primer**](https://github.com/donnemartin/system-design-primer) 
 Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

##### Video Games

* [**3d-game-shaders-for-beginners**](https://github.com/lettier/3d-game-shaders-for-beginners) 
 🎮  A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.

* [**game-programmer**](https://github.com/miloyip/game-programmer) 
 A Study Path for Game Programmer.

* [**games**](https://github.com/leereilly/games) 
 A list of popular/awesome video games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine.

##### Web Developments amd Networks

* [**Become-A-Full-Stack-Web-Developer**](https://github.com/bmorelli25/Become-A-Full-Stack-Web-Developer) 
 Free resources for learning Full Stack Web Development.

* [**Web-Dev-For-Beginners**](https://github.com/microsoft/Web-Dev-For-Beginners) 
 24 Lessons, 12 Weeks, Get Started as a Web Developer.

* [**what-happens-when**](https://github.com/alex/what-happens-when) 
 An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"

##### Database Documents

* [**pgdoc-cn**](https://github.com/postgres-cn/pgdoc-cn) 
 PostgreSQL manual Chinese translation by China PostgreSQL Users Group.

##### Operating System Tutorials

* [**Linux-Tutorial**](https://github.com/judasn/Linux-Tutorial) 
 《Java 程序员眼中的 Linux》

* [**os-tutorial**](https://github.com/cfenollosa/os-tutorial) 
 How to create an OS from scratch.

* [**rpi4-osdev**](https://github.com/isometimes/rpi4-osdev) 
 Tutorial: Writing a "bare metal" operating system for Raspberry Pi 4 

##### Reverse Engineering

* [**Reverse-Engineering**](https://github.com/mytechnotalent/Reverse-Engineering) 
 A FREE comprehensive reverse engineering course covering x86, x64, 32-bit ARM & 64-bit ARM architectures.

* [**zphisher**](https://github.com/htr-tech/zphisher) 
 An automated phishing tool with 30+ templates. This Tool is made for educational purpose only ! Author will not be responsible for any misuse of this toolkit!

##### Regex

* [**learn-regex**](https://github.com/ziishaned/learn-regex) 
 Learn regex the easy way.

##### Markdown, LaTeX, and README Files

* [**art-of-readme**](https://github.com/noffle/art-of-readme) 
 💌 Things I've learned about writing good READMEs.

* [**awesome-github-profile-readme**](https://github.com/abhisheknaiidu/awesome-github-profile-readme) 
 😎 A curated list of awesome Github Profile READMEs. 📝 

* [**awesome-LaTeX**](https://github.com/egeerardyn/awesome-LaTeX) 
 Curated list of LaTeX awesomeness.

* [**awesome-markdown**](https://github.com/BubuAnabelas/awesome-markdown) 
 📝 Delightful Markdown stuff.

* [**markdown-here**](https://github.com/adam-p/markdown-here) 
 Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

* [**Note-by-LaTeX**](https://github.com/wklchris/Note-by-LaTeX) 
 《简单粗暴 LaTeX》源码 | A LaTeX handbook to help Chinese LaTeX learners.

##### Git and Command Line Commands

* [**gitignore**](https://github.com/github/gitignore) 
 A collection of useful .gitignore templates.

* [**github**](https://github.com/phodal/github) 
 GitHub 漫游指南 - a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest. 

* [**linux-command**](https://github.com/jaywcjlove/linux-command) 
 Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。

* [**nocode**](https://github.com/kelseyhightower/nocode) 
 The best way to write secure and reliable applications. Write nothing; deploy nowhere.

* [**the-art-of-command-line**](https://github.com/jlevy/the-art-of-command-line) 
 Master the command line, in one page.

#### 2.5 Comprehensive Computer Science

* [**Best-websites-a-programmer-should-visit**](https://github.com/sdmg15/Best-websites-a-programmer-should-visit) 
 Some useful websites for programmers.

* [**Computer-Science-Resources**](https://github.com/the-akira/Computer-Science-Resources) 
 A list of resources in different fields of Computer Science (multiple languages).

* [**computer-science**](https://github.com/ossu/computer-science) 
 🎓 Path to a free self-taught education in Computer Science!

* [**CS-Notes**](https://github.com/CyC2018/CS-Notes) 
 📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++。

* [**cs-video-courses**](https://github.com/Developer-Y/cs-video-courses) 
 List of Computer Science courses with video lectures.

* [**free-programming-books-zh_CN**](https://github.com/justjavac/free-programming-books-zh_CN) 
 📚 免费的计算机编程类中文书籍，欢迎投稿。

* [**free-programming-books**](https://github.com/EbookFoundation/free-programming-books) 
 📚 Freely available programming books.

* [**missing-semester-cn.github.io**](https://github.com/missing-semester-cn/missing-semester-cn.github.io) 
 the CS missing semester Chinese version. 

* [**missing-semester**](https://github.com/missing-semester/missing-semester) 
 The Missing Semester of Your CS Education. 📚 

* [**Psyduck**](https://github.com/SmartKeyerror/Psyduck) 
 Record CS knowlegement with XMind, version 2.0. 使用 XMind 记录 Linux 操作系统，网络，C++，Golang 以及数据库的一些设计。

* [**TeachYourselfCS-CN**](https://github.com/keithnull/TeachYourselfCS-CN) 
 TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS 

#### 2.6 Interview and Opportunities

* [**awesome-computer-science-opportunities**](https://github.com/anu0012/awesome-computer-science-opportunities) 
 An awesome list of events and fellowship opportunities for Computer Science students.

* [**awesome-interview-questions**](https://github.com/DopplerHQ/awesome-interview-questions) 
 A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

* [**coding-interview-university**](https://github.com/jwasham/coding-interview-university) 
 A complete computer science study plan to become a software engineer.

* [**linkedin-skill-assessments-quizzes**](https://github.com/Ebazhanov/linkedin-skill-assessments-quizzes) 
 Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test. 

#### 2.7 Code Styles

* [**naming-cheatsheet**](https://github.com/kettanaito/naming-cheatsheet) 
 Comprehensive language-agnostic guidelines on variables naming. Home of the A/HC/LC pattern.

* [**state-of-the-art-shitcode**](https://github.com/trekhleb/state-of-the-art-shitcode) 
 💩State-of-the-art shitcode principles your project should follow to call it a proper shitcode.

#### 2.8 Blogs and Learning Notes

* [**cam-notes**](https://github.com/dalcde/cam-notes) 
 [**Blog**](http://dec41.user.srcf.net/) My Cambridge Lecture Notes.

* [**colah.github.io**](https://github.com/colah/colah.github.io) 
 colah's blog: .

* [**Connor McLeod**](https://github.com/con-mcleod) 
 A UNSW EECS student's GitHub page.

* [**Hillary Chan**](https://github.com/hillaryychan) 
 A UNSW student's GitHub page.

* [**Luka Kerr**](https://github.com/lukakerr) 
 A UNSW software engineering student's GitHub page.

* [**Lux**](https://github.com/flying-yogurt/Lux) 
 📖 My summaries and notes for Computer Science, Mathematics and more science relevant contents. For my CS undergraduate career, redirect to the repository "Unilife-CS-Backup".

* [**YAWEN LUO**](https://github.com/YawenRiva) 
 A UNSW student's GitHub page.

#### 2.9 News and Forums

* [**daily**](https://github.com/dailydotdev/daily) 
 Discover dev news with zero effort.

* [**GitHubDaily**](https://github.com/GitHubDaily/GitHubDaily) 
 GitHubDaily 分享内容定期整理与分类。欢迎推荐、自荐项目，让更多人知道你的项目。

* [**gold-miner**](https://github.com/xitu/gold-miner) 
 🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台。

* [**HelloGitHub**](https://github.com/521xueweihan/HelloGitHub) 
 :octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目。

--------------------------------------------------------------------------------

### Part 3: Computer Irrelevant Repos

* [**996.ICU**](https://github.com/996icu/996.ICU) 
 Repo for counting stars and contributing. Press F to pay respect to glorious developers.

* [**Awesome-Japanese**](https://github.com/yudataguy/Awesome-Japanese) 
 Awesome Japanese learning resource.

* [**awesome-math**](https://github.com/rossant/awesome-math) 
 A curated list of awesome mathematics resources.

* [**awesome**](https://github.com/sindresorhus/awesome) 
 😎 Awesome lists about all kinds of interesting topics.

* [**chinese-copywriting-guidelines**](https://github.com/sparanoid/chinese-copywriting-guidelines) 
 Chinese copywriting guidelines for better written communication／中文文案排版指北.

* [**chinese-poetry**](https://github.com/chinese-poetry/chinese-poetry) 
 The most comprehensive database of Chinese poetry. 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

* [**ChineseBQB**](https://github.com/zhaoolee/ChineseBQB) 
 Chinese sticker pack,More joy / 表情包的博物馆, Github最有毒的仓库, 中国表情包大集合, 聚欢乐~

* [**How-To-Ask-Questions-The-Smart-Way**](https://github.com/ryanhanwu/How-To-Ask-Questions-The-Smart-Way) 
 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。

* [**HowToCook**](https://github.com/Anduin2017/HowToCook) 
 程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).