GitHub / cambridge-mlg / CLUE
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cambridge-mlg%2FCLUE
PURL: pkg:github/cambridge-mlg/CLUE
Stars: 34
Forks: 4
Open issues: 2
License: mit
Language: Python
Size: 617 KB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: about 1 year ago
Topics: aleatoric-uncertainty, counterfactual, counterfactual-explanations, deep-learning, epistemic-uncertainty, generative-model, interpretability, latent-space, machine-learning, neural-networks, paper, publication, research, transparency, uncertainty