Visualizer for neural network, deep learning and machine learning models

A simple web-based visualizer for seeing how perceptrons work

web development for the rest of us

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

Play with neural networks!

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

Word Embedding Visual Inspector

An interactive visualization of neural networks

Publication-ready NN-architecture schematics.

This project is real-time visualization of a network recognizing digits from user's input.

Code samples for my book "Neural Networks and Deep Learning"

DALL·E Mini - Generate images from a text prompt

💫 Toolkit to help you get started with Spec-Driven Development

Godot Engine – Multi-platform 2D and 3D game engine

Go implementation of the Ethereum protocol

Source code for "Building Cryptographic Proofs from Hash Functions"

⚓ Solana Program Framework

The simplest and most extensible zkVM. Fast and fully open source from a16z crypto and friends. ⚡

A performant NumPy extension for Galois fields and their applications

Tensor library for machine learning

Build smaller, faster, and more secure desktop and mobile applications with a web frontend.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

The fundamental package for scientific computing with Python.

A high-throughput and memory-efficient inference and serving engine for LLMs

SGLang is a high-performance serving framework for large language models and multimodal models.

Unsloth Studio is a web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

An annotated implementation of the Transformer paper.

The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.