scikit-hubness
scikit-hubness: Hubness Reduction and Approximate Neighbor Search - Published in JOSS (2020)
molic
molic: An R package for multivariate outlier detection in contingency tables - Published in JOSS (2019)
hypertools
A Python toolbox for gaining geometric insights into high-dimensional data
unsupervised_analysis
A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
msaenet
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
HRM
R package providing statistical tests for high-dimensional repeated measures or split-plot designs.
PyCCEA
PyCCEA: A Python package of cooperative co-evolutionary algorithms for feature selection in high-dimensional data - Published in JOSS (2025)
covequal
Provide test for equality of covariance matrices between two multivariate normal samples and valid p-values for high-dimensional data
high-dimensional-analysis-in-python
Exploring and Modeling High-Dimensional Data
https://github.com/astro-informatics/quantifai
PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors