latent-variables

There are 45 repositories under latent-variables topic.

  • blavaan

    An R package for Bayesian structural equation modeling

    Language:R88
  • Causing

    Causing

    Causing: CAUsal INterpretation using Graphs

    Language:Python56

  • regain

    REGAIN (Regularised Graphical Inference)

    Language:Jupyter Notebook28

  • sem_book

    An Introduction to Structural Equation Modeling

    Language:HTML23

  • mentalHealthDataAnalysis

    Data Analysis on Mental Health.

    Language:Jupyter Notebook21

  • HDNO

    This is the source code for HDNO: a hierarchical model for task-oriented dialogue system.

    Language:Python18

  • These-People-Do-Not-Exist

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

    Language:Python15

  • T-ELF

    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.

    Language:Python14

  • vae-latent-structure

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

    Language:Python13

  • onyx

    Ωnyx - Structural Equation Modeling

    Language:Java13

  • LEGIT

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

    Language:R12

  • Spectral-Parser

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

    Language:Python8

  • LoL-match-analytics

    Match Predictions for Professional League of Legends Matches

    Language:Python8

  • medusa

    Jumping across biomedical contexts using compressive data fusion

    Language:Python7

  • Gaussian-Mixture-VAE

    [Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables inspired from "Categorical Reparameterization with Gumbel-Softmax".

    Language:Python4
  • variational-inference-gmm

    variational-inference-gmm

    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.

    Language:Jupyter Notebook4

  • wishart-gibbs-kernel

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

    Language:MATLAB4

  • 3-Step-ML-auto

    This R tutorial automates the 3-step ML auxiliary variable procedure using the MplusAutomation package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters. To learn more about auxiliary variable integration methods and why multi-step methods are necessary for producing un-biased estimates see Asparouhov & Muthén (2014).

    3

  • penfa

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

    Language:R3

  • quick-lca-mplusauto

    Demonstrate the speed of running an LCA analysis using MplusAutomation

    2

  • pyDRESCALk

    Distributed Non Negative RESCAL decomposition with estimation of latent features

    Language:Python2

  • latent-space-plots

    A simple Jupyter notebook to visualize data in latent space using dimensionality reduction techniques.

    Language:Jupyter Notebook2

  • pltm-east

    Pouch latent tree models for multidimensional clustering

    Language:Java2
  • immerse-ucsb.github.io

    immerse-ucsb.github.io

    GH pages repository to host all tutorial scripts as websites for sharing (PDF/HTML formats).

    Language:HTML1

  • BCH-MplusAuto

    This `R` tutorial automates the BCH two-step axiliary variable procedure (Bolk, Croon, Hagenaars, 2004) using the `MplusAutomation` package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters.

    1

  • intro_to_rstudio

    This walkthrough is presented by the IMMERSE team and will go through some common tasks carried out in R.

    Language:HTML1

  • Vision2DeepManifold

    Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity

    Language:Python1

  • RFoT

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

    Language:Python1

  • NLARX

    ForneyLab.jl factor node for a nonlinear latent autoregressive model with exogenous input.

    Language:Julia1

  • ElasticLerp

    Time-warped interpolation of latent space

    Language:Mathematica1

  • Transfer_Learning_Precision_Medicine

    Implementation of transfer learning approaches for predictive modeling of anticancer drug sensitivity.

    Language:MATLAB1

  • names_eval

    Evaluating preprocessing methods to predict ethnic distributions using names

    Language:R1

  • jaws

    Jackstraw Weighted Shrinkage Methods

    Language:R1

  • dimensionality_reduction

    Code used in blog post about dimensionality reduction using Python

    Language:Python

  • lavaan.bingof

    Limited Information Goodness of Fit Tests for Binary Factor Models

    Language:R

  • ILAA

    Evaluation of HMCA for Latent Biomarker Discovery

    Language:HTML