Showing 1-20 of 79 projects
System Design 101 explains complex systems with visuals and simple terms for system design interviews and learning.
Claude Code is an AI coding agent that helps developers code faster in their terminal and IDEs.
Explains the detailed technical process of typing 'google.com' and pressing enter in a browser.
Explains surprising Python snippets and gotchas for learning and interviews
Book explaining software design through small code examples
SHAP explains ML model outputs using Shapley values for interpretability.
Interactive machine learning algorithms in Python with Jupyter demos
Curated list of open source libraries for deploying, monitoring, and scaling machine learning in production
A developer resource explaining the inner workings of web browsers and the internet.
A comprehensive collection of deep learning, reinforcement learning, and machine learning resources for vibe coders.
Advanced AI Explainability library for computer vision models built with PyTorch.
A Python library for explaining the predictions of any machine learning classifier.
An interactive visualization tool for learning Convolutional Neural Networks (CNNs) and deep learning.
Provides explanations of key concepts in machine learning for developers.
Rust explained using easy English for developers to learn the language efficiently.
An illustration series that aims to explain the inner workings of the React library in detail.
A comprehensive JavaScript library for learning and implementing data structures and algorithms.
A JavaScript visualization library that converts any code into beautiful SVG flowcharts for learning, design, refactoring, and documentation.
An interactive visualization tool that explains how transformer language models work, targeting AI-focused developers.
Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.
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