google-deepmind/educational resource
None 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2115
- days_rel: n/a
- days_push: 1447
- n_releases_24m: 0
Adoption not part of the score
1487 stars · 202 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of educational Jupyter/Colab tutorials from DeepMind teaching machine learning basics to audiences with no ML background. Topics include reinforcement learning agents, language models, generative models, and protein folding.
Use cases
- learn machine learning basics with no prior background
- teach an intro ML course with ready-made notebooks
- understand how language models predict text
- build a simple generative model that creates images
- learn how AI agents learn to play games
- explore ML approaches to protein structure prediction
When to choose
- you want beginner-friendly, interactive Colab notebooks for ML education
- you need accessible teaching material for non-experts
- you want DeepMind-authored tutorials on language models, generative models, or RL
When to avoid
- you need production ML libraries or frameworks
- you want advanced, research-grade implementations
- you need actively updated content, as the repo appears to be in maintenance
Facets
learning-resource · maturity maintenance
machine-learning nlp deep-learning education machine-learning tutorials artificial-intelligence python jupyter-notebooks colab educational-tutorials reinforcement-learning generative-models beginner-friendly web
1 source
- readme: https://github.com/google-deepmind/educational · fetched 2026-08-28 · 0d29d3bc6127
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google-deepmind/educational | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="google-deepmind/educational")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem