greydanus / mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Most machine learning models get around the same ~99% test accuracy on MNIST. Our dataset, MNIST-1D, is 100x smaller (default sample size: 4000+1000; dimensionality: 40) and does a better job of separating between models with/without nonlinearity and models with/without spatial inductive biases.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 37 days ago
- Stars
- 264
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 60% closed
- 6 still open
- Pull requests
- 6 merged
- 2 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
- Python <1%
Topics
- neural-networks
- machine-learning
- convnet
- pytorch
- dataset
- research
Project record
- JobOther AI tools
- StatusListed
- Commits121
- Forks40
- Watching6
- Stars in 28 days+2
- CreatedNov 29, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026