Greg Ver Steeg

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

NPEET. Non-parametric Entropy Estimation Toolbox

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 This reference implementation has been superseded by other versions below.

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

gaussianize. Transforms univariate data into normally distributed data

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

esh_dynamics. Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling

discrete_sieve. The information sieve for discrete variables.

InfoDiffusionSimple. Information-theoretic diffusion, simplified code example.

LinearSieve. The Linear Information Sieve

CorExplorer. Automated gene expression analysis using CorEx

NPEET_LNC. local non-uniformity correction for mutual information estimation

T-CorEx. Temporal correlation explanation.

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

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

inv-rep. Code for Invariant Rep. Without Adversaries (NIPS 2018)