# dair-ai/Transformers-Recipe

🧠 A study guide to learn about Transformers

Repository: https://github.com/dair-ai/Transformers-Recipe
Canonical: https://ross.abutalabs.com/products/transformers-recipe
License: CC0-1.0
License Family: permissive
Topics: deep-learning, natural-language-processing, machine-learning, ai, nlp
Last push: 2023-06-03T23:03:37+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1719, "days_push": 1187, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1649, forks 163 (observed 2026-08-28T04:05:16.674586+00:00)

## What it is
A curated study guide of links and materials for learning about Transformer models in deep learning and NLP. It organizes high-level introductions, illustrated explanations, technical summaries, and from-scratch implementation tutorials.

## Use cases
- learn how transformer models work
- find resources to understand attention mechanism
- study transformers from scratch
- get a guided path into NLP deep learning
- find illustrated explanations of transformers
- prepare for studying modern LLM architectures

## When to choose
- you want a curated, structured reading path for learning transformers
- you prefer links to high-quality external tutorials and lectures
- you are a student or practitioner new to transformer architectures

## When to avoid
- you need runnable code or a software library
- you want an up-to-date guide with recent model coverage
- you need interactive exercises or assessments

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: deep-learning, machine-learning, tutorials
- platform: -
- tags: transformers, study-guide, curated-resources, nlp, attention-mechanism, natural-language-processing, web-server

## Member repositories
- dair-ai/Transformers-Recipe (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:16.674586+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:45:08.396065+00:00, confidence not recorded.
  - readme: https://github.com/dair-ai/Transformers-Recipe (fetched 2026-08-28T04:05:16.674586+00:00, sha e2458d55649f)
- Data as of 2026-08-30T08:39:29.467469+00:00.