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Samsung R&D Institute
- https://rafsanahmad.github.io/
- @RafsanahmadDev
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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
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.
00mjk / transpiler
Forked from jarble/transpilerA 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.