fastai/courses resource
fast.ai Courses observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
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: 3546
- days_rel: n/a
- days_push: 761
- n_releases_24m: 0
Adoption not part of the score
5748 stars · 2678 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
The official lecture materials and notebooks for fast.ai's Practical Deep Learning for Coders course (2017 edition). It provides hands-on Jupyter Notebook lessons teaching deep learning to coders.
Use cases
- learn deep learning from scratch as a coder
- follow along with fast.ai course lectures in notebooks
- find practical neural network examples in Jupyter
- self-study practical deep learning for free
- reference course notebooks for CNN and NLP lessons
When to choose
- you want free, hands-on, top-down deep learning education with runnable notebooks
- you are following the fast.ai course and need the official lecture materials
When to avoid
- you need a maintained deep learning library rather than course materials
- you want the latest fast.ai course content, which lives in newer repositories
Facets
learning-resource · maturity maintenance
deep-learning machine-learning data-science deep-learning machine-learning tutorials education python cross-platform jupyter-notebooks course-materials fastai lecture-notes
1 source
- readme: https://github.com/fastai/courses · fetched 2026-08-28 · 5e7405d321f9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| fastai/courses | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem