Clean Code concepts adapted for JavaScript
- javascript
- principles
- composition
- inheritance
Repository Index
47,133 repositories indexed
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🧑🏫 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, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
:snowman: Possibly the smallest compiler ever
Gitbook
- micropoor
- micro8
- penetration
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
- deep-reinforcement-learning
- reinforcement-learning
- dqn
- ppo
TranslatedWTF Solidity minimalist introductory tutorial, for beginners. Now supports English! Official website: https://wtf.academy
- airdrop
- auction
- blockchain
- dapp
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
Pocket Flow: Codebase to Tutorial
TranslatedTikTok unlock without removing the SIM card, with the latest support for iPhone & iPad, TikTok & TikTok TestFlight, region switching, video posting, live streaming, likes, comments, private message chat, and more!
- tiktok
- tiktok-unlock
- unlock
How to systematically secure anything: a repository about security engineering
- security-engineering
- security-architecture
- secure-systems
- threat-modeling
This repository has examples of broken patterns in ASP.NET Core applications
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
📗 How to write cross-platform Node.js code
This repository is a getting started guide to Singer.
- etl
- etl-framework
- python
- singer
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
Data Hacking Project
How to build useful, profitable apps in 2026. Clone it and point your coding agent at AGENTS.md.
A quick introduction to exploring how components can be created in several frameworks.
📖 Build a RESTful API on Go: Fiber, PostgreSQL, JWT and Swagger docs in isolated Docker containers.