google-deepmind/learning-to-learn
Learning to Learn in TensorFlow 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: 3557
- days_rel: n/a
- days_push: 1891
- n_releases_24m: 0
Adoption not part of the score
4068 stars · 602 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A TensorFlow implementation of 'Learning to learn by gradient descent by gradient descent' (DeepMind, arXiv:1606.04474), which trains LSTM-based learned optimizers via meta-learning. It includes training and evaluation scripts and example problems such as quadratic functions, MNIST, and CIFAR-10.
Use cases
- train a learned optimizer with meta-learning
- reproduce the learning-to-learn paper experiments
- compare learned optimizers against Adam on MNIST or CIFAR-10
- implement custom problems for meta-learned optimization
- research on LSTM-based optimizers
When to choose
- you are researching learned optimizers or meta-learning and want a reference implementation
- you need to reproduce the arXiv:1606.04474 results
- you work with TensorFlow 1.x and Sonnet and want to experiment with learned optimizers
When to avoid
- you need a production optimizer - use standard optimizers like Adam instead
- you use modern TensorFlow 2.x, PyTorch, or JAX - this code targets TensorFlow 1.x and is unmaintained
- you need actively maintained software with recent updates
Facets
library · maturity abandoned
machine-learning deep-learning machine-learning deep-learning artificial-intelligence python learned-optimizers meta-learning lstm tensorflow research-code gradient-descent
6 sources
- readme: https://github.com/google-deepmind/learning-to-learn · fetched 2026-08-28 · 1197f7874203
- homepage: https://arxiv.org/abs/1606.04474 · fetched 2026-08-29 · f5f66a7d3a12
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google-deepmind/learning-to-learn | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="google-deepmind/learning-to-learn")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem