Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

A Python toolbox for gaining geometric insights into high-dimensional data

High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.

Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection

Implementation of NEWMA: a new method for scalable model-free online change-point detection

A Python package for hubness analysis and high-dimensional data mining

A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

Hubness analysis and removal functions

python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional data

A Python package of cooperative co-evolutionary algorithms for feature selection in high-dimensional data.

A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region

python package for approximately estimating mutual information in high dimensions

A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)

Paxplot is a Python visualization library for parallel axis, or parallel coordinate, plots.

A small library for regridding Earth system data with vectorized sparse linear transforms

Code for TNNLS paper "Deep Clustering and Visualization for End-to-End High Dimensional Data analysis"

High Dimensional Regression Coefficient Analysis for Functional Data

Easy evaluation and plotting of statistical data and high-dimensional distributions in python - Fast generation, loading and storing of custom datasets.

Tools for High-dimensional, low-sample-size (HDLSS) data.