an R package for structural equation modeling and more
🎓 Tidy tools for academics
An R package for Bayesian structural equation modeling
Causing: CAUsal INterpretation using Graphs
An Introduction to Structural Equation Modeling
REGAIN (Regularised Graphical Inference)
Data Analysis on Mental Health.
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
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 😁
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
[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables inspired from "Categorical Reparameterization with Gumbel-Softmax".
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings (ACML 2017)
[ICML 2025] R implementation of MIIC_search&score: a search-and-score algorithm for learning ancestral graphs with latent confounders, using multivariate information over ac-connected subset.
Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.
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