#

dirichlet-distributions

Here are 3 public repositories matching this topic...

dougbrion / pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

paper pytorch uncertainty mnist classification mnist-classification uncertainty-neural-networks torchvision evidential-deep-learning dirichlet-distributions

Updated Jan 2, 2024
Python

jayjaynandy / maximize-representation-gap

Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples

ood dpn dirichlet-distributions ood-detection-performance representation-gap

Updated Dec 18, 2020
Jupyter Notebook

andriygav / MixtureLib

The implementation of mixtures for different tasks.

linear-regression torch bayesian-methods ensemble ensemble-learning expectation-maximization-algorithm ensemble-prediction mixture-of-experts dirichlet-distributions mixture-of-models

Updated Oct 17, 2024
Python

Improve this page

Add a description, image, and links to the dirichlet-distributions topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the dirichlet-distributions topic, visit your repo's landing page and select "manage topics."