WebSearch.Net

•    CSharp

WebSearch.Net is an open-source research platform that provides uniform data source access, data modeling, feature calculation, data mining, etc.

pretty-algorithms - 🌊 Pretty, common and useful algorithms with modern JS and beautiful tests

•    TypeScript

Common useful algorithms written in modern, pretty and easy-to-understand Javascript along with real-world usage examples. Implementations are in standard ES6 Javascript with the addition of Typescript type annotations for better clarity.All the algorithms are also tested using Jest with the help of custom beautiful snapshots.

RxCpp - Reactive Extensions for C++

•    C++

The Reactive Extensions for C++ (RxCpp) is a library of algorithms for values-distributed-in-time. The Range-v3 library does the same for values-distributed-in-space.The ReactiveX Observable model allows you to treat streams of asynchronous events with the same sort of simple, composable operations that you use for collections of data items like arrays. It frees you from tangled webs of callbacks, and thereby makes your code more readable and less prone to bugs.

awesome-cpp - A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things

A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.C++ Standard Library - including STL Containers, STL Aglorithm, STL Functional, etc.

C-Sharp-Algorithms - A C# plug-and-play class-library project of standard Data Structures and Algorithms

•    CSharp

A C# plug-and-play class-library project of standard Data Structures and Algorithms. It contains 35+ Data Structures and 30+ Algorithms designed as Object-Oriented isolated components. Even though this project started for educational purposes, the implemented Data Structures and Algorithms are standard, efficient, stable and tested.This project originally started out as an interview preparation project. However, after receiving a great amount of positive responses on reddit, and noticing excitement from a few GitHubers to contribute furthermore to it, the project took on a different meaning. So, I decided to keep maintaining it as a reference for data structures and algorithm implementations in C# as well as my own research side-project under these topics.

awesome-coins - ₿ A guide (for humans!) to cryto-currencies and their algos.

A cryptocurrency is a digital asset designed to work as a medium of exchange using cryptography to secure the transactions and to control the creation of additional units of the currency. There are many algorithms used in many different crypto–currencies. This document serves to provide a simple map to reference which are for what, as well as provide a nice list of helpful services and utilities for managing coins.

algorithms

•    Javascript

Classic algorithms and data structures implemented in JavaScript, you know... FOR SCIENCE.

sage - Mirror of the Sage source tree -- NO PRs! -- everything must be submitted via https://trac

•    Python

In many cases, documentation for modules and functions list the authors. from the command line. If you downloaded the sources, please read below on how to build Sage and work around common issues.

ps - Problem Solving

ps is a collection of various computing problems and their corresponding solutions that I could think of. The problems range in various categories such as design, algorithms, performance optimizations, and more. Feel free to add a Github issue for any discrepancy, typo, alternatives, or a different solution that I might not have considered. Also feel free to add issues for problems that you would like me to work upon - though it may take me a few days to research and jot my notes here.

LeetCode-Sol-Res - Clean, Understandable Solutions and Resources for LeetCode Online Judge Algorithm Problems

•    Java

This repository contains solutions and resources for LeetCode algorithm problems. An excel table for quick review before interview is also provided in resources directory.

phobos - The standard library of the D programming language

•    D

Phobos is the standard library that comes with the D Programming Language Compiler. Phobos is packaged together with the compiler. You should download the whole precompiled package.

tech-interview-handbook - 💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

•    Javascript

This repository has practical content that covers all phases of a technical interview, from applying for a job to passing the interviews to offer negotiation. Technically competent candidates might still find the non-technical content helpful as well. Anybody who wants to land a job at a tech company but is new to technical interviews, seasoned engineers who have not been on the other side of the interviewing table in a while and want to get back into the game, or anyone who wants to be better at technical interviewing.

machinelearning - ML.NET is an open source and cross-platform machine learning framework for .NET.

•    CSharp

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. ML.NET allows .NET developers to develop their own models and infuse custom ML into their applications without prior expertise in developing or tuning machine learning models, all in .NET.

RxCpp - Reactive Extensions for C++

•    C++

The Reactive Extensions for C++ (RxCpp) is a library of algorithms for values-distributed-in-time. The Range-v3 library does the same for values-distributed-in-space. RxCpp is a header-only C++ library that only depends on the standard library. The CMake build generates documentation and unit tests. The unit tests depend on a git submodule for the Catch library.

awesome-java-leetcode - :crown: LeetCode of algorithms with java solution(updating).

•    Java

:crown: LeetCode of algorithms with java solution(updating).

mlcourse_open - OpenDataScience Machine Learning course. Both in English and Russian

•    Python

This is the list of published articles on medium.com 🇬🇧, habr.com 🇷🇺, and jqr.com 🇨🇳. Icons are clickable. Also, links to Kaggle Kernels (in English) are given. This way one can reproduce everything without installing a single package. Assignments will be announced each week. Meanwhile, you can pratice with demo versions. Solutions will be discussed in the upcoming run of the course.

algorithms - Minimal examples of data structures and algorithms in Python

•    Python

Minimal and clean example implementations of data structures and algorithms in Python 3.

swift-algorithm-club - Algorithms and data structures in Swift, with explanations!

•    Swift

Here you'll find implementations of popular algorithms and data structures in everyone's favorite new language Swift, with detailed explanations of how they work. The goal of this project is to explain how algorithms work. The focus is on clarity and readability of the code, not on making a reusable library that you can drop into your own projects. That said, most of the code should be ready for production use but you may need to tweak it to fit into your own codebase.

pywonderland - A tour in the wonderland of math with Python.

•    Python

A collection of python scripts for drawing beautiful figures or animating interesting algorithms in mathematics. You can visit the website for this repository to see how to use these scripts and get more information of the math behind them.

interviews - Everything you need to know to get the job.

•    Java

Your personal guide to Software Engineering technical interviews. Maintainer - Kevin Naughton Jr.