Interactive HTML tutorial: Understanding Transformers from Zero to Hero. Learn the math, attention mechanisms, and complete GPT architecture with hands-on demos.

Homage to the "Let's build GPT : from scratch, in code and spelled out" from @karpathy

My implementations and notes from Andrej Karpathy’s Neural Networks: Zero to Hero series — building everything from micrograd to GPT from scratch.

rebuilding gpt 2 using pytorch (following karpathys zero to hero course)

Mini GPT from Scratch implementation (from Andrej Karpathy's Zero to Hero Youtube series)

Clone of GPT-2 (124M Version) - Following Andrej Karpathy's Zero to Hero series

Building RNNs/Transformers/ChatGPT from scratch

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i will try my best to upload one single code everyday with increasing difficulty. Wish me Luck.....

Andrej Karpathy's Zero to Hero (Bigram + GPT) in Numpy

Building GPT in Andre Karpathy's Zero-to-hero NN series

Mini version of GPT (Following Andrej Karpathy's Zero to Hero series)

Zero to Hero with GPT-3 and Python: Building cutting-edge AI.

Learning/Recreating GPT from "Neural Networks: Zero to Hero by Andrej Karpathy"

Modified version of Karpathy's GPT clone from Zero to Hero YT series

From-scratch reproduction of GPT-2 following Andrej Karpathy's "Zero to Hero" series.

Following Andrej Karpathy’s Zero-to-Hero series: building micrograd, makemore, and GPT from scratch.

AI-powered UPSC Prelims tutor using GPT-5.2 - Zero to hero preparation for UPSC CSE 2026

Transformer implementation using Andrej Karparthy's Neural Network - Zero to Hero playlist, specifically the GPT 2 video.

GPT from the video youtube Zero to Hero LLM Course by Dev G (https://www.youtube.com/@gptLearningHub)

character-level GPT language model implemented from scratch in PyTorch, based on Andrej Karpathy's 'Zero to Hero' series.

A full transformer-based GPT model built from scratch using PyTorch, inspired by Karpathy’s Zero-to-Hero series

Comprehensive notes and implementations from Andrej Karpathy's Neural Networks Zero to Hero series. Autograd, MLP, GPT, BPE tokenizer from scratch in PyTorch.

This repository contains a Jupyter Notebook for building a Generative Pre-trained Transformer (GPT) model, inspired by the "Zero to Hero" series by Andrej Karpathy.

Last video in Andre Karpathy's Zero-to-hero NN series, with I follow along with to build GPT 2 124M model from scratch (and train using GPUs deployed in Azure)

playlist: [Neural Networks: Zero to Hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) Best of: [Let's build GPT: from scratch, in code, spelled out.](https://youtu.be/kCc8FmEb1nY)

This repo contains the code from Andrej Karpathy's series of lectures titled Zero to Hero: Neural Networks. It covers fundamental neural network concepts like backward propagation and gradient descent, and ends with a mini-GPT

🤖 A complete from-scratch implementation of GPT (Generative Pre-trained Transformer) using PyTorch, following Andrej Karpathy's "Zero To Hero" tutorial. This educational project builds a character-level language model trained on Shakespeare's text.

This repository contains my implementation of the GPT-2 architecture from scratch, inspired by Andrej Karpathy’s Neural Networks: Zero to Hero series and OpenAI’s original GPT-2 model. The goal is to deeply understand the inner workings of transformer-based language models by building each component from the ground up.

This repo contains my notebooks and experiments while following Karpathy's "Neural Networks: Zero to Hero" course. Started with NN fundamentals, and then built and trained complex models from scratch (including an LLM like GPT). I extended the lessons by using a custom scraped dataset.