raiyansayeed

raiyansayeed's Stars

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9.9k1.6k

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3.1k511

• shankarpandala/lazypredict

  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  Language:Python3k345

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.7k1k

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook5k869

• zeromicro/go-zero

  A cloud-native Go microservices framework with cli tool for productivity.

  Language:Go29.4k4k

• zendesk/active_record_shards

  Support for sharded databases and replicas for ActiveRecord

  Language:Ruby25126

• jzarnett/ece252

  ECE 252: Systems Programming and Concurrency

  Language:TeX222108

• TheAlgorithms/C-Plus-Plus

  Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  Language:C++30.9k7.3k

• alan2207/bulletproof-react

  🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.

  Language:TypeScript28.8k2.6k

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

  Language:Python19.3k2.7k

• jenndryden/Canadian-Tech-Internships-Summer-2024

  Crowdsourced list of Canadian tech companies that are hiring interns for Summer 2024

  1.9k159

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript120k14.8k

• AkashSingh3031/The-Complete-FAANG-Preparation

  Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

  Language:Jupyter Notebook10.9k2.4k

• sysprog21/lkmpg

  The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)

  Language:TeX7.7k530

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell88.6k5.8k

• SimplifyJobs/Summer2025-Internships

  Collection of Summer 2025 tech internships!

  35.4k2.8k

• diekmann/wasm-fizzbuzz

  WebAssembly from Scratch: From FizzBuzz to DooM.

  Language:C++1.5k66

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.4k3.7k

• microsoft/IoT-For-Beginners

  12 Weeks, 24 Lessons, IoT for All!

  Language:C++15.4k2.4k

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML70k14.6k

• spring-projects/spring-petclinic

  A sample Spring-based application

  Language:CSS7.8k24k

• dotnet-architecture/eShopOnContainers

  Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.

  Language:C#24.5k10.3k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.7k6k

• AllThingsSmitty/css-protips

  ⚡️ A collection of tips to help take your CSS skills pro 🦾

  28.5k2.2k

• sdmg15/Best-websites-a-programmer-should-visit

  :link: Some useful websites for programmers.

  63.1k7.9k

• ankane/production_rails

  Best practices for running Rails in production

  2.2k138

• practical-nlp/practical-nlp-code

  Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

  Language:Jupyter Notebook1.3k606

• trimstray/the-book-of-secret-knowledge

  A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

  150k9.6k

• 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

  20.7k5.2k