A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies
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Updated
Feb 14, 2026 - C#
A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies
Detailed python notes & code for lectures and exercises of Andrej Karpathy's course "Neural Networks: Zero to Hero." The course is focused on building neural networks from scratch.
GPT in a QR Code ; The actual most atomic way to train and inference a GPT in pure, dependency-free JS/Python.
Train Llama 3 models from scratch. Any scale, any personality. By Arianna Method.
⚡ The AI Slop Index linter inspired by @karpathy. Detects hallucinated imports, any-type abuse, vibe coding, and soul-less patterns in TypeScript/JavaScript/React. Fast (~4s), educational, CI-ready. npx karpeslop@latest
🔬 The most atomic GPT-2 implementation in 265 lines of pure Python & CUDA. A bilingual "Rosetta Stone" for understanding LLM internals from scratch. No dependencies, just math and kernels.
📖 A self-contained course to learn the basics of neural networks: from backprop to GPT! 🌻
Transcripts of the Neural Networks: Zero to Hero course
Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course
🧠 Interactive GPT/Transformer Learning Platform — İnteraktif GPT/Transformer Eğitim Platformu
The easiest way to build Neural Networks in C# within Unity. The open-source AI project implements a scalar-valued autograd engine so you don't have to deal with backpropagation, and a Neural Network library. You can use it outside of Unity as well.
GPT code - I completed the tutorial for building GPT components by Andrej Karpathy (Let's build GPT: from scratch, in code, spelled out)
A random thought experiment on Infinite Monkey Theorem.
📰 OpenClaw Skill: Daily AI/Tech digest from 92 Karpathy-curated blogs. Zero deps, no API keys. Agent-native RSS → Score → Summarize pipeline.
This repository is dedicated to my learning journey through the AI Neural Network Course by Andrej Karpathy. It contains my personal notes, code snippets, and key takeaways from the first four parts of the course.
A modified, secure version of BPE algorithm
Minimal char-level GPT inspired by @karpathy's microGPT: multi-dataset runner for names, Pokémon, Shakespeare, Paul Graham essays and more. Educational, hackable, no fluff.
Chrome extension that makes @karpathy's tweets easier to read
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