A scikit-learn compatible neural network library that wraps PyTorch
created at July 18, 2017, 12:13 a.m.
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
created at April 22, 2017, 10:16 p.m.
Universal 1d/2d data containers with Transformers functionality for data analysis.
created at Aug. 22, 2017, 3:52 p.m.
Use evolutionary algorithms instead of gridsearch in scikit-learn
created at Oct. 28, 2015, 10:52 p.m.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
created at July 9, 2018, 1:44 p.m.
A fast xgboost feature selection algorithm
created at Aug. 23, 2017, 9:43 p.m.
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
created at April 7, 2018, 9:37 p.m.
Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)
created at July 31, 2016, 3:17 p.m.
Relevance Vector Machine implementation using the scikit-learn API.
created at Aug. 2, 2015, 4:04 p.m.
LibXtract is a simple, portable, lightweight library of audio feature extraction functions.
created at May 31, 2012, 3:16 p.m.
Missing data visualization module for Python.
created at March 27, 2016, 3:18 p.m.