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awesome-markdown-repositories

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A collection of Markdown repositories.

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# Awesome Markdown repositories
A collection of Markdown repositories.

_Created with [MindForger](https://github.com/dvorka/mindforger)._

# Markdown
Markdown:

* [Awesome Markdown](https://github.com/mundimark/awesome-markdown) - a collection of Markdown goodies (libraries, services, editors, tools, cheatsheets)
* [Awesome Markdown editors](https://github.com/mundimark/awesome-markdown-editors)- a collection of Markdown editors and (pre)viewers for Linux, Apple OS X, Microsoft Windows and web.
* [Markdown Guide](https://github.com/mattcone/markdown-guide-book) - the comprehensive Markdown reference guide, in book format.
* [GitHub emoji cheatsheet](https://gist.github.com/rxaviers/7360908) - complete list of GitHub markdown emoji markup.
# Algorithms
Algorithms:

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

C++:

* [C++ core quidelines](https://github.com/isocpp/CppCoreGuidelines) - the C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++.

Objective C:

* [Objective C style guide](https://github.com/NYTimes/objective-c-style-guide) - the Objective-C Style Guide used by The New York Times.

JavaScript:

* [JavaScript algorithms](https://github.com/trekhleb/javascript-algorithms) - algorithms and data structures implemented in JavaScript with explanations and links for further reading.
* [Front-end developer handbook](https://github.com/FrontendMasters/front-end-handbook-2018) - a guide that anyone could use to learn about the practice of front-end development.

Git SCM:

* [Pro Git 2nd edition](https://github.com/progit/progit2) - Pro Git book content, 2nd edition.
* [Pro Git 1st edition](https://github.com/progit/progit) - Pro Git book content, 1st edition.

# AI
AI services:

* [Awesome AI services](https://github.com/sekwiatkowski/awesome-ai-services) - an overview of the AI-as-a-service landscape.

Neural networks:

* [Build your own X](https://github.com/danistefanovic/build-your-own-x#build-your-own-neural-network) - build your own NN.

Computer vision:

* [Awesome computer vision](https://github.com/jbhuang0604/awesome-computer-vision) - a curated list of awesome computer vision resources.

Communities and social resources:

* [Do you even learn](https://github.com/BAILOOL/DoYouEvenLearn) - essential Guide to keep up with AI/ML/CV.

# Interviews
Interviews:

* [Hiring without whiteboards](https://github.com/poteto/hiring-without-whiteboards) - companies that don't have a broken hiring process.
* [Interviews](https://github.com/kdn251/interviews) - 
everything you need to know to get the job.
* [Awesome interview questions](https://github.com/MaximAbramchuck/awesome-interview-questions) - a curated awesome list of lists of interview questions. 
* [Tech interview handbook](https://github.com/yangshun/tech-interview-handbook) - algorithms study materials, behavioral content and tips for rocking your coding interview.
* [Coding interview university](https://github.com/jwasham/coding-interview-university) - a complete computer science study plan to become a software engineer.
* [Interview](https://github.com/andreis/interview) - everything you need to prepare for your technical interview.
* [Coding interview](https://github.com/mre/the-coding-interview) - programming exercises, code katas and puzzles for your job interview training - or just for fun.
* [Interview problems](https://github.com/nyghtowl/Interview_Problems) - example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues.
* [Java interview preparation](https://github.com/Java-aid/Interview-Preparations) - 
repository contains coding assessments and their solutions for various IT companies.
# Linux
Bash:

* [Pure Bash bible](https://github.com/dylanaraps/pure-bash-bible.git) - a collection of pure bash alternatives to external processes.

# Misc
Miscellaneous:

* [LivingSocial API design](https://github.com/livingsocial/api-design) - LivingSocial API design guide.
* [HydraEcoSystem](https://github.com/HTTP-APIs/http-apis.github.io) - main documentation entrypoint for Hydra-based applications.
* [FiveThirtyEight data](https://github.com/fivethirtyeight/data) - data and code behind the articles and graphics at [FiveThirtyEight](https://data.fivethirtyeight.com/)

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