scikit-learn addon to operate on set/"group"-based features
updated at April 6, 2022, 5:34 a.m.
Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)
updated at Oct. 13, 2023, 5:01 p.m.
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
updated at Oct. 22, 2023, 2:22 p.m.
Auralisation of learned features in CNN (for audio)
updated at Nov. 17, 2023, 9:07 p.m.
SigOpt wrappers for scikit-learn methods
updated at Dec. 1, 2023, 7:52 a.m.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
updated at Jan. 1, 2024, 9:42 p.m.
The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs
updated at Jan. 4, 2024, 4:37 p.m.
Library for machine learning stacking generalization.
updated at Jan. 8, 2024, 2:06 p.m.
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
updated at Jan. 19, 2024, 9:15 p.m.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
updated at Feb. 7, 2024, 11:38 p.m.
Directions overlay for working with pandas in an analysis environment
updated at Feb. 12, 2024, 11:42 a.m.
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
updated at Feb. 13, 2024, 3:17 p.m.
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
updated at Feb. 21, 2024, 2:17 a.m.