Kaleidophon / deep-significance
Enabling easy statistical significance testing for deep neural networks.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- :rocket. For the impatient: ASO with multi-threading
- :electric_plug. Compatibility with PyTorch, Tensorflow, Jax & Numpy
- :woman_farmer. Setting seeds for replicability
- :game_die. Permutation and bootstrap test
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 52 days ago
- Stars
- 343
- +1 this week
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- None listed
- No release files
- Latest version
- v1.2.6
- Released 4 years ago
- Built with
- Python
- 67% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 11 merged
- 0 waiting
- Releases
- 8
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics, project record and preview image
Languages
- Python 67%
- Jupyter Notebook 33%
- Shell <1%
Topics
- significance-testing
- deep-learning
- dl
- hypothesis-testing
- hypothesis-tests
- statistical-significance
- statistical-significance-test
- machine-learning
- ml
- deeplearning
- machinelearning
- compare-scores
Project record
- JobOther AI tools
- StatusListed
- Commits205
- Forks20
- Watching7
- Stars in 28 days+1
- CreatedFeb 23, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026