SayedMaheen

SayedMaheen's Stars

• planetoftheweb/sassEssentials

  Repository for my tutorial course: Sass Essential Training on LinkedIn Learning and Lynda.com.

  Language:SCSS192217

• react-native-training/react-native-fonts

  Fonts available out of the box in a React Native project

  Language:JavaScript1.5k132

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell87.1k5.7k

• cfenollosa/os-tutorial

  How to create an OS from scratch

  Language:C27k3.3k

• tronprotocol/java-tron

  Java implementation of the Tron whitepaper

  Language:Java3.7k1.4k

• goldbergyoni/javascript-testing-best-practices

  📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (July 2023)

  Language:JavaScript24k2.1k

• lydiahallie/javascript-questions

  A long list of (advanced) JavaScript questions, and their explanations :sparkles:

  62.5k8.9k

• zero-to-mastery/start-here-guidelines

  Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.

  Language:Python2.6k17.1k

• Akshaya-Amar/Free-Programming-Books

  Free Programming eBooks

  11137

• smknstd/modern-php-cheatsheet

  Cheatsheet for some PHP knowledge you will frequently encounter in modern projects.

  1.3k108

• riti2409/Programming_language

  Quick links, resources , books for different programming language

  20536

• rstudio/cheatsheets

  Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

  Language:TeX5.8k1.8k

• erikaduan/r_tips

  A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning

  Language:R727192

• fastapi/fastapi

  FastAPI framework, high performance, easy to learn, fast to code, ready for production

  Language:Python76.1k6.4k

• facebook/hhvm

  A virtual machine for executing programs written in Hack.

  Language:C++18.1k3k

• google/trax

  Trax — Deep Learning with Clear Code and Speed

  Language:Python8.1k814

• ksanjeevan/torchparse

  PyTorch Model Parser: Easily define models in .cfg file(s)

  Language:Python187

• bregman-arie/devops-exercises

  Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

  Language:Python66.1k14.7k

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66.6k9.1k

• SayedMaheen/coding-interview-university

  A complete computer science study plan to become a software engineer.

  3

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.3k6.3k

• mrdbourke/your-first-kaggle-submission

  How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.

  Language:Jupyter Notebook220148

• amaiya/ktrain

  ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

  Language:Jupyter Notebook1.2k269

• hse-aml/natural-language-processing

  Resources for "Natural Language Processing" Coursera course.

  Language:Jupyter Notebook1.2k2k

• danielfrg/tsne

  A python wrapper for Barnes-Hut tsne

  Language:C++404132

• hse-aml/competitive-data-science

  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

  Language:Jupyter Notebook647616

• fschutt/azul

  Desktop GUI Framework

  Language:Rust5.9k219

• jwasham/sentiment-classifier-service

  Self-contained service utilizing the NLTK for sentiment classification.

  Language:Shell96

• jwasham/machine-learning

  Some notes on machine learning algorithms, mostly in Matlab format.

  Language:Matlab6028

• jwasham/practice-go

  A project for practicing while learning Go.

  Language:Go3914