Genetic feature selection module for scikit-learn
updated at April 2, 2024, 5:40 p.m.
🎆 A visualization of the CapsNet layers to better understand how it works
updated at April 9, 2024, 8:10 a.m.
A library that implements fairness-aware machine learning algorithms
updated at April 14, 2024, 2:01 p.m.
Python package for Bayesian Machine Learning with scikit-learn API
updated at April 14, 2024, 7:03 p.m.
A library of metrics for evaluating recommender systems
updated at April 16, 2024, 12:18 p.m.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
updated at April 16, 2024, 4:59 p.m.
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering ðŸ›
updated at April 18, 2024, 8:08 a.m.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
updated at April 19, 2024, 2:27 p.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.
updated at April 20, 2024, 10:02 a.m.
ThunderGBM: Fast GBDTs and Random Forests on GPUs
updated at April 21, 2024, 6:17 p.m.