an R package for structural equation modeling and more

An R package for Bayesian structural equation modeling

🎓 Tidy tools for academics

An Introduction to Structural Equation Modeling

REGAIN (Regularised Graphical Inference)

Causing: CAUsal INterpretation using Graphs

Data Analysis on Mental Health.

Jumping across biomedical contexts using compressive data fusion

Distributed Non Negative RESCAL decomposition with estimation of latent features

A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings (ACML 2017)

AI that generates human faces which have never been seen before. The future is now 😁

An R package for the Latent Environmental & Genetic InTeraction (LEGIT) model

Evaluating preprocessing methods to predict ethnic distributions using names

PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]

R package for penalized factor analysis via trust-region algorithm and automatic multiple tuning parameter selection

Random Forest of Tensors (RFoT) is a tensor decomposition based ensemble semi-supervised classifier.

High-Performance Implementation of Spectral Learning of Latent-Variable PCFGs (Cohen et al., 2013)

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

Ωnyx - Structural Equation Modeling

Pouch latent tree models for multidimensional clustering