pievos101

uRF

Unsupervised Random Forest-based Clustering

TreeSmoothing

Post-hoc Regularization of Tree Ensembles

cpath

Explaining black-box models through counterfactual paths and conditional permutations

HC-fused

Multi-view hierarchical clustering in R

Pyrea

Multi-view clustering with flexible ensemble structures.

Ensemble-GNN

Ensemble learning with graph neural networks for disease module discovery and classification

xAI-Shiny-App

ranger

A Fast Implementation of Random Forests

GraphXAI

GraphXAI: Resource to support the development and evaluation of GNN explainers

mvlearn

Python package for multi-view machine learning

GNN-SubNet

Disease subnetwork detection with explainable Graph Neural Networks

BlockFeST

Bayesian calculation of region-specific FST to detect local adaptation

DFNET

Network-guided greedy decision forest for feature subset selection

TopKSignal

Effective signal reconstruction from multiple ranked lists via convex optimization

treeshap

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

Labeller

Quickly set up an image labelling web application for manually tagging images for machine learning tasks.

Patch-Augmentation

Code for the implemenation of the Patch Augmentation technique

Augmentor

Image augmentation library in Python for machine learning.

kNN-Genome-Scans

Genome scans for selection and introgression based on k‐nearest neighbour techniques.

BASIX

C/C++ toolset for R

PopGenome

An Efficient Swiss Army Knife for Population Genomic Analyses in R

n2c2

Support code for participation at the 2018 n2c2 Shared-Task Track 1