ThunderGBM: Fast GBDTs and Random Forests on GPUs
updated at Nov. 18, 2024, 3:23 p.m.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
updated at Nov. 18, 2024, 3:19 a.m.
Module for statistical learning, with a particular emphasis on time-dependent modelling
updated at Nov. 17, 2024, 10:58 p.m.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
updated at Nov. 17, 2024, 10:55 p.m.
Fast, flexible and easy to use probabilistic modelling in Python.
updated at Nov. 16, 2024, 6:53 p.m.
Natural Gradient Boosting for Probabilistic Prediction
updated at Nov. 16, 2024, 7:32 a.m.
Metric learning algorithms in Python
updated at Nov. 15, 2024, 11:44 p.m.
A strongly-typed genetic programming framework for Python
updated at Nov. 15, 2024, 10:56 p.m.