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GitHub / statmlben / dnn-inference
[TNNLS 2022] Significance tests of feature relevance for a black-box learner
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/statmlben%2Fdnn-inference
Stars: 15
Forks: 4
Open Issues: 0
License: mit
Language: Python
Repo Size: 568 MB
Dependencies:
47
Created: over 4 years ago
Updated: 25 days ago
Last pushed: about 2 months ago
Last synced: 25 days ago
Commit Stats
Commits: 233
Authors: 5
Mean commits per author: 46.6
Development Distribution Score: 0.021
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/statmlben/dnn-inference
Topics: black-box-testing, feature-importance, feature-selection, hypothesis-testing, image-inference, significance-testing, statistical-inference, statistical-tests, xai
Files
Dependencies
- emoji ==1.7.0
- hachibee_sphinx_theme ==0.2.5
- keras ==2.9.0
- matplotlib ==3.5.2
- numpy ==1.23.0
- pandas ==1.4.3
- scikit_learn ==1.1.1
- scipy ==1.8.1
- seaborn ==0.11.2
- setuptools ==59.6.0
- tensorflow ==2.9.1
- Sphinx ==4.3.1
- emoji ==1.7.0
- hachibee_sphinx_theme *
- ipython *
- matplotlib *
- nbsphinx *
- numpy *
- numpydoc *
- scipy *
- sklearn *
- sphinx_autodoc_typehints *
- sphinx_rtd_theme *
- sphinx_theme_pd *
- tensorflow *
- emoji ==1.7.0
- hachibee_sphinx_theme ==0.2.5
- keras ==2.9.0
- matplotlib ==3.5.2
- numpy ==1.23.0
- pandas ==1.4.3
- scikit_learn ==1.1.1
- scipy ==1.8.1
- seaborn ==0.11.2
- setuptools ==59.6.0
- tensorflow ==2.9.1
- emoji ==1.7.0
- hachibee_sphinx_theme ==0.2.5
- keras ==2.9.0
- matplotlib ==3.5.2
- numpy ==1.23.0
- pandas ==1.4.3
- scikit_learn ==1.1.1
- scipy ==1.8.1
- seaborn ==0.11.2
- setuptools ==59.6.0
- tensorflow ==2.9.1