Skip to content

Educational Implementation · Jupyter Notebook

andrej-karpathy-full-course

Karpathy's course material explanation written and understood, arguably one of the best Deep Learning courses out there!

What it is

The repository contains a series of Jupyter notebooks and Python scripts that walk through building neural networks from basic bigram models up to a GPT-2 replica, following Andrej Karpathy's Neural Networks: Zero to Hero course.

  • andrej-karpathy
  • artificial-intelligence
  • attention-is-all-you-need
  • deep-learning
  • deep-neural-networks
  • gpt
  • neural-network
  • neural-networks
  • openai
  • transformer-architecture

Scored from the code at its last scan, 8 Oct 2026. How merit is scored

Where it counts

  • Machine Learning90%
  • NLP & LLMs80%
  • Data Science20%
  • MLOps10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board
  1. 16, shared rankAurora-SDG-Publication-ClassifierML Application · Python58.9/100AdvancedJens Mittelbach
  2. 16, shared rankrag-pocEducational Implementation · TypeScript58.9/100AdvancedJarad Peckenpaugh
  3. 18, shared rankneural-style-transfer-cnnML Application · Python58.6/100AdvancedPop Alexandru
  4. 18, shared rankrl-livive-netML Application · JavaScript58.6/100AdvancedJarad Peckenpaugh
  5. 18, shared rankandrej-karpathy-full-courseEducational Implementation · Jupyter Notebook58.6/100AdvancedPop Alexandru

More from Pop Alexandru