google/automl
Google Brain AutoML: thousands of stars, one sentence
A monorepo of Google Brain’s AutoML research that lets its code do the talking—mostly because the README refuses to.
Not currently ranked — collecting fresh signals.
star history
What it does This repository hosts Google Brain’s AutoML-related models and libraries. The README stops after a single sentence, so the exact inventory is unclear from the landing page. GitHub topics suggest the repo covers EfficientNet, EfficientNetV2, EfficientDet, and broader object-detection work.
The interesting bit A project with thousands of stars and a Google Brain pedigree greets visitors with less hand-holding than a hobbyist’s dotfiles. The code is apparently meant to speak for itself.
Key highlights
- Google Brain AutoML research outputs
- GitHub topics tag it with
efficientnet,efficientnetv2,efficientdet, andobject-detection - 6,472 stars and primarily Jupyter Notebooks
- README is admirably—or frustratingly—concise
Caveats
- The landing page explains almost nothing; expect to dig through subdirectories.
- No README guidance on maintenance status, contribution policy, or how the pieces fit together.
Verdict Useful if you are hunting for Google’s EfficientNet or EfficientDet code and do not mind spelunking. Skip it if you want a polished framework with clear onboarding.
Frequently asked
- What is google/automl?
- A monorepo of Google Brain’s AutoML research that lets its code do the talking—mostly because the README refuses to.
- Is automl open source?
- Yes — google/automl is open source, released under the Apache-2.0 license.
- What language is automl written in?
- google/automl is primarily written in Jupyter Notebook.
- How popular is automl?
- google/automl has 6.5k stars on GitHub.
- Where can I find automl?
- google/automl is on GitHub at https://github.com/google/automl.