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Aimed towards programming enthusiasts who want to improve algorithm capabilities through LeetCode, containing many algorithm questions. Most of them are real interview questions of Google, Facebook, LinkedIn, Apple, etc. and it always help to sharp our algorithm Skills. Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview. This repo shows the solutions in Go with the code style strictly following the Google Golang Style Guide. The algorithms in this book are all implemented in Go language. ...

Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and networking. It also includes practical coding examples and solutions that demonstrate how to approach and solve common problems asked at companies like Google, Amazon, Facebook, and Microsoft. ...

UVA Arena (c) 2014, is a windows based, non-commercial, open source utility application to make problem solving easier for the programmers. It is based on popular UVA Online Judge and uses APIs from uHunt. Main target of this software is to provide an useful and informative tool to help with programming practice. Today programming has become a very competitive field. You need to keep track of your progress daily, learn new things, and of-course solve new problems as fast as you can....

First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run...

ParseSourceCodeStudy is a Chinese-language study repository analyzing the source code and design ideas behind Facebook’s open-source Parse platform. It focuses on iOS development concepts such as multithreading, GCD usage, networking, caching, and offline storage. The project is structured as a source-code study series rather than a standalone application framework. It helps developers learn by examining how a real-world open-source backend and client ecosystem approached common engineering...