A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
created at Feb. 17, 2014, 5:21 p.m.
🎆 A visualization of the CapsNet layers to better understand how it works
created at Jan. 19, 2018, 8:46 p.m.
Python library for multilinear algebra and tensor factorizations
created at Sept. 18, 2013, 10:31 a.m.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
created at Sept. 19, 2016, 1:36 p.m.
Python implementation of the rulefit algorithm
created at Oct. 16, 2015, 3:56 p.m.
A python package for animating plots build on matplotlib.
created at April 3, 2017, 12:54 a.m.
scikit-learn inspired API for CRFsuite
created at Nov. 26, 2015, 9:15 p.m.
Google BigQuery connector for pandas
created at Feb. 8, 2017, 1:07 p.m.
Directions overlay for working with pandas in an analysis environment
created at Oct. 19, 2019, 9:51 a.m.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
created at March 23, 2018, 1:16 p.m.
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
created at Feb. 23, 2016, 5:31 a.m.
Module for statistical learning, with a particular emphasis on time-dependent modelling
created at Dec. 1, 2016, 10:59 a.m.