dabochen/spreadsheet-is-all-you-need resource
A nanoGPT pipeline packed in a spreadsheet observed · 2026-08-28
Health v2 · maintenance only
24/100
- Activity 0
- Release rhythm 35
- Longevity 58
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 816
- days_rel: n/a
- days_push: 808
- n_releases_24m: 0
Adoption not part of the score
2159 stars · 128 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An interactive spreadsheet (Excel/Numbers) that implements the full nanoGPT inference pipeline, including embedding, layer norm, self-attention, MLP, and softmax, with roughly 85,000 parameters. It is a visual educational tool for understanding transformer internals through fully configurable matrix calculations.
Use cases
- visualize how a transformer processes data step by step
- understand self-attention with interactive matrix calculations
- learn GPT architecture without writing Python code
- experiment with transformer parameters in a spreadsheet
- teach deep learning concepts with a hands-on tool
- explore nanoGPT's inference pipeline interactively
When to choose
- you are a visual learner trying to understand transformer internals
- you want an interactive, configurable walkthrough of GPT mechanisms
- you want to teach or self-study how self-attention and MLPs work
- you prefer spreadsheets over code for exploring calculations
When to avoid
- you need actual trained weights or correct inference outputs
- you want to train or fine-tune a language model
- you need production-grade LLM inference performance
- you expect large-scale tokenization beyond the A/B/C character demo
Facets
learning-resource · maturity stable
machine-learning data-visualization deep-learning large-language-models education tutorials windows cross-platform nanogpt transformer spreadsheet self-attention interactive-learning llm-internals education macos
1 source
- readme: https://github.com/dabochen/spreadsheet-is-all-you-need · fetched 2026-08-28 · 8662ccae46c8
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| dabochen/spreadsheet-is-all-you-need | main | 24 |
For agents
markdown · JSON · MCP: product_card(name="dabochen/spreadsheet-is-all-you-need")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem