I provide a simple example of a Dirichlet regression in PyMC. This form of generalized linear model is appropriate when modeling proportions of multiple groups, that is, when modeling a collection of positive values that must sum to a constant. Some common examples include ratios and percentages.
Automatically download and parse research articles then summarize them with various ML and AI models.
Does the warning 'Using NumPy C-API based implementation for BLAS functions' from Theano when using PyMC3 affect the performance of MCMC?
The steps I have taken to learn how to conduct Bayesian data analysis.
We trained a Progressive Growing GAN to produce realistic, yet novel, hand radiographs and explored its latent input space to identify an embedding of bone age.
A web application that summarizing text down to an adjustable percentage of the the most important sentences.
A web application that solves [Sudoku puzzles] using linear integer programming.