Systematically learn and evaluate manifolds from high-dimensional data
MIT License
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feat...
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A high-performance topological machine learning toolbox in Python
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
Helper functions for all stages of the machine learning cycle.
Bootstrapped Analysis of Stable Clusters- A semi-automated fMRI individual and group level functi...
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
An intuitive library to add plotting functionality to scikit-learn objects.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic ...
A python library for decision tree visualization and model interpretation.
Comparison-based Machine Learning in Python
An approach to document exploration using Machine Learning. Let's cluster similar research articl...
[NeurIPS2023,ICML2024] Multiparameter Persistence for Machine Learning
Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with mini...