Collection of Useful Algorithms in multiple programming languages and some awesome cheat-sheet and resources for learning geeky stuffs.
- A ridiculous collection of cheatsheets
- Awesome cheatsheets for popular programming languages, frameworks and development tools
- π UI component dev & test: React, Vue, Angular, React Native, Ember, Web Components & more!
- Awesome lists about all kinds of interesting topics
- List of Development YouTube Channels
- π A curated list of Web Performance Optimization
- π»π Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
- A Collection of application ideas which can be used to improve your coding skills
- Git Commands
- Simple terminal UI for git commands
- A gitmoji interactive command line tool for using emojis on commits π»
- Must-watch videos about javascript
- A curated list of javascript fundamentals and algorithms
- This is about useful JS tips!
- Textures.js is a JavaScript library for creating SVG patterns
- Lightweight fuzzy-search, in JavaScript
- A book about JavaScript, programming, and the wonders of the digital
- π’ A collection of awesome browser-side JavaScript libraries, resources and shiny things
- LazyLoad is a fast, lightweight and flexible script that speeds up your web application by loading your content images, videos and iframes only as they enter the viewport
- Momentum
- Adblock Plus
- Wappalyzer
- GitHub Repository Size
- Grammarly
- Isometric Contributions
- WhatFont
- React Developer Tools
- Octotree
- PyTorch tutorials
- Data-Science Cheat-Sheet
- Related papers for robust machine learning
- Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS
- A booklet on machine learning systems design with exercises
- A collection of datasets ready to use with TensorFlow
- code for Data Science From Scratch book
- Tutorials, assignments, and competitions for MIT Deep Learning related courses
- Fast image augmentation library and easy to use wrapper around other libraries
- Collection of Artificial Intelligence Algorithms implemented on various problems
- PyTorch image models, scripts, pretrained weights
- Code for visualizing the loss landscape of neural nets
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
- An end-to-end PyTorch framework for image and video classification
- React-Typescript Cheatsheet
- Lint rules related to React & JSX for TSLint
- React Native Awesome Button
- React Native Awesome Slider
- Simple and complete React DOM testing utilities
- Jest utilities for Styled Components
- Collection of useful React components
- Build forms in React, without the tears π
- High performance
<canvas>rendering for React components - π A flexible and fun JavaScript file upload library
- A React-Native datetime-picker for Android and iOS
- A description of the conceptual model of React without implementation burden
- Babylon.js is a powerful, beautiful, simple, and open game and rendering engine packed into a friendly JavaScript framework
- Fast and lightweight WebGL game engine
- Tech interview prep list
A curated awesome list of lists of interview questions. Feel free to contribute! π- πΈ Almost complete answers to "Front-end Job Interview Questions" which you can use to interview potential candidates, test yourself or completely ignore
- JavaScript interview Questions
Can't see your favorite algorithm script or cheat-sheet? Send a PR for adding your favorite algorithm in any programming language.
This repository is available under the MIT License.