Skip to content
Atlas profile

Andrej

@karpathyUnclaimed profile

I like to train Deep Neural Nets on large datasets.

AI-Atlas score

beta
Specialist
0100
Strongest
NLP & LLMs
76/100 domain score
Rank
Not ranked
Unknown
Not ranked
  • StanfordLocation
  • 12 Oct 2026Mapped
  • 37Projects

Unclaimed Atlas

Is this you?

Claim it with GitHub to join the leaderboard and see your rank, globally and in your country. Claiming also unlocks your full scoring analysis.

  1. Sign in with GitHubProves who you are
  2. GitHub confirms you are @karpathyMatched by GitHub account ID
  3. Join the leaderboardGlobal and country ranks

Checking your GitHub sign-in…

Your account, and you’d rather it wasn’t here? Request removal.

This Atlas

You

Not signed in

Sign in with GitHub to verify

Not verified yet

01Skills matrix

AI Skills Matrix

AI Skills Matrix scores, 0 to 100
Machine Learning74
Computer Vision56
Data Science53
NLP & LLMs76
AI Agents62
MLOps22

Each node is one domain, scored only from evidence in these public repositories. Select one to see why.

Deep, repeated, well-engineered work in this domain.

02Evaluated projects6 of 30

Showing the top 30 of 37 evaluated projects by contribution.

Ranked by contribution

Ordered by how much each project adds to the Atlas score, not by its own score. A project with evidence in several domains can rank above one with a slightly higher project score. Choose a domain to focus on the projects with meaningful evidence there.

01
63

Advanced

+3.5 adoption

16% of Atlas Score

Educational Implementation· Python

makemore is a single‑file PyTorch script that implements and trains various character‑level autoregressive language models (from bigrams to Transformers) for educational purposes.

Machine Learning0.90NLP & LLMs0.90
02
63

Advanced

+4.5 adoption

15% of Atlas Score

Educational Implementation· C

llama2.c provides a minimal educational implementation for training and inferencing the Llama 2 language model, featuring a PyTorch training pipeline, model export utilities, and a pure C inference engine for dependency-free execution.

NLP & LLMs0.95Machine Learning0.90Data Science0.30
03
55

Implementation

+5 adoption

11% of Atlas Score

Agent System· Python

The repository provides a setup for an AI agent to autonomously conduct research by modifying a single-GPU LLM training script (train.py) and running experiments with a fixed 5-minute time budget, using a simplified nanochat-based model and custom optimizer.

Machine Learning0.90NLP & LLMs0.90AI Agents0.90Data Science0.30
04
53

Implementation

+3.6 adoption

7% of Atlas Score

Educational Implementation· Python

NeuralTalk is an educational implementation of image captioning models using multimodal recurrent neural networks (CNN+LSTM and CNN+RNN) built from scratch with Python and numpy.

Machine Learning0.90Computer Vision0.80NLP & LLMs0.70Data Science0.20
05
63

Advanced

+4.6 adoption

6% of Atlas Score

Educational Implementation· Jupyter Notebook

This repository contains a series of Jupyter notebooks that teach neural networks from scratch, implementing an autograd engine (micrograd) and character‑level language models up to a GPT‑like architecture.

Machine Learning0.90NLP & LLMs0.60Computer Vision0.20
06
44

Implementation

+2.1 adoption

6% of Atlas Score

Dataset / Data Pipeline· Python

ResearchPooler is a collection of Python scripts that download, parse, and index NIPS conference papers from 2003-2010, enabling keyword and similarity-based search over the resulting bibliography.

Data Science0.80Machine Learning0.60NLP & LLMs0.20