an R package for structural equation modeling and more
🎓 Tidy tools for academics
An R package for Bayesian structural equation modeling
Intuitive guide to multi-omics integration with toy examples: supervised latent components (DIABLO), unsupervised shared/partial/unique structure (DIVAS), VAEs/conditional VAEs, and key baselines (MOFA, JIVE, SNF) with practical tips + code.
Causing: CAUsal INterpretation using Graphs
An Introduction to Structural Equation Modeling
REGAIN (Regularised Graphical Inference)
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.
Data Analysis on Mental Health.
Ωnyx - Structural Equation Modeling
This is the source code for HDNO: a hierarchical model for task-oriented dialogue system.
AI that generates human faces which have never been seen before. The future is now 😁
Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.
A deep exploration of loyalty as a multi-dimensional behavioral system shaped by intent, habit, and sensitivity. This article introduces a geometric framework for modeling customer behavior, predicting churn trajectories, and designing ML systems that understand loyalty as a dynamic state, not a metric.
An R package for Bayesian structural equation modeling using INLA
PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]
An R package for the Latent Environmental & Genetic InTeraction (LEGIT) model
Match Predictions for Professional League of Legends Matches
High-Performance Implementation of Spectral Learning of Latent-Variable PCFGs (Cohen et al., 2013)
Jumping across biomedical contexts using compressive data fusion
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