🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
TranslatedDeep Learning 500 Questions: in question-and-answer form, it covers hot topics in commonly used probability, linear algebra, machine learning, deep learning, computer vision and more, to help myself and readers who need it. The book is divided into 18 chapters and has more than 500,000 characters. Due to limited ability, readers are kindly asked to criticize and correct any improper parts of the book. To be continued............ If you are interested in cooperating, contact [email protected]. All rights reserved, infringement will be prosecuted. Tan 2018.06
100 Days of ML Coding
A collection of learning resources for curious software engineers
- read-articles
- programmer
- professional
- scalability
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
- 30daysofjavascript
- javascript-for-everyone
- css
- html
Learn how to design systems at scale and prepare for system design interviews
Learn regex the easy way
- regex
- regular-expression
- learn-regex
This is a repo with links to everything you'd ever want to learn about data engineering
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn System Design concepts and prepare for interviews using free resources.
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
TranslatedPersonal notes on Professor Andrew Ng's machine learning course
Deep Learning Book Chinese Translation
FCC China open source codebase and curriculum. Learn to code and help nonprofits.
🤪 A list of funny and tricky JavaScript examples
- javascript
- specification
- handbook
- notes
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Awesome React Native components, news, tools, and learning material!
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
TranslatedClose, paragraph-by-paragraph readings of classic and new deep learning papers