Learn System Design concepts and prepare for interviews using free resources.

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Interview questions

Awesome books, tutorials, courses, and resources for the Ktor framework ecosystem. ⚡

A simple framework for mobile system design interviews

A collection of extension libraries for Jetpack Compose

💯 Curated coding interview preparation materials for busy software engineers

😎 Awesome lists about all kinds of interesting topics

A curated list of awesome frameworks, libraries and software for the Java programming language.

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

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

Most comprehensive list 📋 of tech interview questions 📘 of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

A library to make benchmarks from PHP frameworks.

Design patterns implemented in Java

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

All Algorithms implemented in Python

Clone a voice in 5 seconds to generate arbitrary speech in real-time

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

100-Days-Of-ML-Code中文版

Face recognition with deep neural networks.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Curated list of open-source quantum software projects.

A universal translator for programming languages

📝 An awesome Data Science repository to learn and apply for real world problems.

VIP cheatsheets for Stanford's CS 229 Machine Learning

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

A complete daily plan for studying to become a machine learning engineer.