Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Unofficial Implementation of E-LatentLPIPS(Ensembled-LatentLPIPS) of Diffusion2GAN

A High Quality (HD / 2K / 4K) Image Generation Using Stable Diffusion and Real-ESR / SwinIR /GFPGAN

Training RAVE, vschaos2, MSPrior and RAVE Latent Diffusion models on Kaggle or Colab

[TMLR 2024] Official PyTorch Implementation of Deep Dynamic Latent Particles

This repository contains as intuitive example on topic-modeling using regular LDA, and how GuidedLDA is better than regular LDA

Protests and agitations have long used as means for showing dissident towards social, political and economic issues in civil societies. In recent years we have witnessed a large number of protests across various geographies. Not to be left behind by similar trends in the rest of the world, South Africa, in recent years have witnessed a large num…

Resources for NIST's Evaluation of Latent Friction Ridge Technology

custom node for ComfyUI

Code and data to reproduce "A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints"

Code used for the analysis in "Discernment of Mediator and Outcome Measurement in the PACE trial"

Rossman R., Yackulic C., Saunders S.P., Reid J., Davis R., and Zipkin E.F. 2016. Dynamic N-occupancy models: estimating demographic rates and local abundances from detection-nondetection data. Ecology. 97: 3300-3307.

For the implementation of LV-IDA in R

A collection of additional promise extending classes. Including a (from the outside) ResablePromise, CancelAblePromise and a latestLatent utility function.

Inference for Gaussian copula factor models and its application to causal discovery.

Some Latent Variable Models

Latent variable models with linear predictors

Using Latent Variable Analysis (LVA) to determine if there is an association between athletic activity and substance use while using level of depression as a mediator variable