dougbrion / pytorch-classification-uncertainty Star 390 Code Issues Pull requests 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 Star 7 Code Issues Pull requests 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 Star 2 Code Issues Pull requests 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 Nov 13, 2020 Python