latent-variables

There are 45 repositories under latent-variables topic.

  • yrosseel/lavaan

    an R package for structural equation modeling and more

    Language:R44344249100

  • mkearney/tidyversity

    🎓 Tidy tools for academics

    Language:R17415316

  • ecmerkle/blavaan

    An R package for Bayesian structural equation modeling

    Language:R8896123
  • Causing

    realrate/Causing

    Causing: CAUsal INterpretation using Graphs

    Language:Python565119

  • fdtomasi/regain

    REGAIN (Regularised Graphical Inference)

    Language:Jupyter Notebook2861013

  • jslefche/sem_book

    An Introduction to Structural Equation Modeling

    Language:HTML232413

  • PLBMR/mentalHealthDataAnalysis

    Data Analysis on Mental Health.

    Language:Jupyter Notebook21206

  • mikezhang95/HDNO

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

    Language:Python18301

  • badass-techie/These-People-Do-Not-Exist

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

    Language:Python15304

  • lanl/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:Python1471054

  • brandmaier/onyx

    Ωnyx - Structural Equation Modeling

    Language:Java135181

  • ys1998/vae-latent-structure

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

    Language:Python13311

  • AlexiaJM/LEGIT

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

    Language:R12452

  • bwassie/LoL-match-analytics

    Match Predictions for Professional League of Legends Matches

    Language:Python8400

  • GavinPHR/Spectral-Parser

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

    Language:Python8201

  • mims-harvard/medusa

    Jumping across biomedical contexts using compressive data fusion

    Language:Python7315

  • EdoardoBotta/Gaussian-Mixture-VAE

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

    Language:Python4101
  • variational-inference-gmm

    mark-antal-csizmadia/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 Notebook4200

  • sremes/wishart-gibbs-kernel

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

    Language:MATLAB4502

  • egeminiani/penfa

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

    Language:R3111

  • immerse-ucsb/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).

    3101

  • immerse-ucsb/quick-lca-mplusauto

    Demonstrate the speed of running an LCA analysis using MplusAutomation

    2000

  • janwithb/latent-space-plots

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

    Language:Jupyter Notebook2100

  • kmpoon/pltm-east

    Pouch latent tree models for multidimensional clustering

    Language:Java2101

  • lanl/pyDRESCALk

    Distributed Non Negative RESCAL decomposition with estimation of latent features

    Language:Python2404

  • coletl/names_eval

    Evaluating preprocessing methods to predict ethnic distributions using names

    Language:R1101

  • dhruba018/Transfer_Learning_Precision_Medicine

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

    Language:MATLAB1100

  • immerse-ucsb/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.

    1000
  • immerse-ucsb.github.io

    immerse-ucsb/immerse-ucsb.github.io

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

    Language:HTML1001

  • immerse-ucsb/intro_to_rstudio

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

    Language:HTML1000

  • MaksimEkin/RFoT

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

    Language:Python1501

  • ncchung/jaws

    Jackstraw Weighted Shrinkage Methods

    Language:R1300

  • wmkouw/NLARX

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

    Language:Julia120

  • FabrizioMusacchio/dimensionality_reduction

    Code used in blog post about dimensionality reduction using Python

    Language:Python0100

  • haziqj/lavaan.bingof

    Limited Information Goodness of Fit Tests for Binary Factor Models

    Language:R0370

  • joseTamezPena/ILAA

    Evaluation of HMCA for Latent Biomarker Discovery

    Language:HTML0100