Pytorch Implementation of MD4: Simplified and Generalized Masked Diffusion for Discrete Data
-
Updated
Feb 5, 2025 - Python
Pytorch Implementation of MD4: Simplified and Generalized Masked Diffusion for Discrete Data
This program performs model selection among minimally complex models for discrete data
R Package That Can Simultaneously Perform Factor Analysis And Cluster Analysis Of Count Data Via Parsimonious Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers. This Model Permits For Parsimonious Covariance Structures And Dimension Reduction, Thus Reducing The Number Of Free Parameters To Be Calculated.
Python/Matplotlib script drawing stem (lollipop) plots of morphometric variables, demonstrated on Mariana Trench data. Reusable scientific-plotting example.
To associate your repository with the discrete-data topic, visit your repo's landing page and select "manage topics."