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bio_corex

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

corex

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

corexplorer

Automated gene expression analysis using CorEx

discrete_sieve

The information sieve for discrete variables.

echo-1

Echo Noise Channel for Exact Mutual Information Calculation

esh_dynamics

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling

gaussianize

Transforms univariate data into normally distributed data

infodiffusionsimple

Information-theoretic diffusion, simplified code example.

inv-rep

Code for Invariant Rep. Without Adversaries (NIPS 2018)

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

linearcorex

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

linearsieve

The Linear Information Sieve

npeet

Non-parametric Entropy Estimation Toolbox

npeet_lnc

local non-uniformity correction for mutual information estimation

py_bigquic

A Python front-end for the large-scale graphical LASSO optimizer BigQUIC (written in R).

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

t-corex

Temporal correlation explanation.

vera