# the-full-stack/the-full-stack-website

Source for https://fullstackdeeplearning.com

Repository: https://github.com/the-full-stack/the-full-stack-website
Canonical: https://ross.abutalabs.com/products/the-full-stack-website
Language: HTML
License Family: other
Last push: 2026-07-28T17:05:09+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 35, longevity 100
- inputs: {"age_days": 2042, "days_push": 36, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1348, forks 217 (observed 2026-08-28T04:04:27.703802+00:00)

## What it is
The source code for the Full Stack Deep Learning website (fullstackdeeplearning.com), built with MkDocs and deployed via GitHub Actions. It hosts course lecture notes and educational materials on production machine learning and full-stack deep learning.

## Use cases
- learn full stack deep learning
- find lecture notes on production machine learning
- study how to deploy ML models in production
- self-host a course website with mkdocs
- learn MLOps and LLMOps course material

## When to choose
- you want to study the Full Stack Deep Learning course content
- you want to see how the course site is built and deployed with MkDocs

## When to avoid
- you need a reusable website framework or theme
- you need production software rather than course content

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, static-site-generator
- domain: education, machine-learning, deep-learning, web-development, developer-tools
- platform: python, self-hosted
- tags: mkdocs, course-materials, full-stack-deep-learning, lecture-notes, educational-website, web-server

## Member repositories
- the-full-stack/the-full-stack-website (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:27.703802+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 2026-08-30T04:42:27.110573+00:00, confidence not recorded.
  - readme: https://github.com/the-full-stack/the-full-stack-website (fetched 2026-08-28T04:04:27.703802+00:00, sha 8814d79d1f31)
- Data as of 2026-08-30T08:39:29.467469+00:00.