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Crack LeetCode, not only how, but also why.
Coding articles to level up your development skills
- awesome-list
- javascript
- snippets
- learning-resources
Clean Code concepts adapted for JavaScript
- javascript
- principles
- composition
- inheritance
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
🧑🏫 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
🚀✨ Help beginners to contribute to open source projects
- open-source
- tutorial
- contribution
- beginner
100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
Learn regex the easy way
- regex
- regular-expression
- learn-regex
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.
🤪 A list of funny and tricky JavaScript examples
- javascript
- specification
- handbook
- notes
What the f*ck Python? 😱
- python
- wats
- snippets
- wtf
TranslatedThe original of this article was written by the well-known hacker Eric S. Raymond. It teaches you how to ask technical questions correctly and get answers you are satisfied with.
- rtfm
- translation
- stfw
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
- llm
- llm-inference
- llm-serving
- llm-training
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (August 2025)
Community guide to securing and improving privacy on macOS.
TranslatedIntelliJ IDEA Simplified Chinese Topic Tutorial
- intellij
- java
- tutorial
- intellij-idea
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.