karpathy/ng-video-lecture resource
None observed · 2026-08-28
Health v2 · maintenance only
31/100
- Activity 0
- Release rhythm 35
- Longevity 94
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1324
- days_rel: n/a
- days_push: 945
- n_releases_24m: 0
Adoption not part of the score
4937 stars · 1352 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
The companion code repository for Andrej Karpathy's 'Neural Networks: Zero To Hero' video lecture on building a GPT model from scratch (nanoGPT). It is meant for learners to follow along, hack on, and walk through the git history of a minimal GPT implementation.
Use cases
- learn how a GPT transformer is implemented from scratch
- follow along with a video lecture on building nanoGPT
- study the git history of a minimal GPT codebase
- hack on a small educational GPT implementation
- understand transformer training basics in Python
When to choose
- you want educational, minimal GPT code tied to a lecture
- you prefer learning by reading and modifying a small codebase
When to avoid
- you need a production-ready or well-optimized GPT implementation
- you need model initialization best practices not covered in this code
- you need a maintained library with a license file and releases
Facets
learning-resource · maturity stable
machine-learning deep-learning llm-training deep-learning large-language-models tutorials education python gpt transformer nanogpt educational-code video-lecture pytorch
1 source
- readme: https://github.com/karpathy/ng-video-lecture · fetched 2026-08-28 · 427c41751495
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| karpathy/ng-video-lecture | main | 31 |
For agents
markdown · JSON · MCP: product_card(name="karpathy/ng-video-lecture")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem