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Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Created
2020-09-06
151 commits to main branch, last one about a year ago
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
bayes
python
pytorch
pytorch-cnn
bayesian-network
bayes-by-backprop
bayesian-convnets
bayesian-networks
image-recognition
variational-bayes
bayesian-inference
bayesian-statistics
variational-inference
bayesian-deep-learning
aleatoric-uncertainties
bayesian-neural-networks
convolutional-neural-networks
Created
2018-07-27
308 commits to master branch, last one 3 years ago
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Created
2020-02-28
234 commits to master branch, last one 2 years ago
Bayesian Deep Learning Benchmarks
Created
2019-06-01
25 commits to alpha branch, last one 3 years ago
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Created
2020-12-17
140 commits to main branch, last one 10 months ago
Bayesian Deep Learning: A Survey
Created
2019-07-17
169 commits to master branch, last one 10 days ago
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
Created
2021-06-30
483 commits to main branch, last one about a month ago
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Created
2022-03-18
258 commits to main branch, last one a day ago
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
Created
2023-07-14
4 commits to main branch, last one 4 months ago
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
Created
2022-01-24
6 commits to main branch, last one 2 years ago
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
Created
2020-12-31
63 commits to master branch, last one 2 years ago
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
pytorch
robustness
uncertainty
learnt-depth
deep-learning
network-depths
neural-networks
machine-learning
bayesian-inference
reproducible-paper
reproducible-research
variational-inference
bayesian-deep-learning
probabilistic-inference
bayesian-neural-networks
expectation-maximization
neural-architecture-search
uncertainty-quantification
uncertainty-neural-networks
probabilistic-neural-network
Created
2020-06-12
7 commits to master branch, last one 3 years ago
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
Created
2021-07-21
2 commits to main branch, last one 3 years ago
Uncertainty Guided Progressive GANs for Medical Image Translation
Created
2021-06-29
10 commits to main branch, last one 3 years ago
The Deep Weight Prior, ICLR 2019
Created
2019-02-18
11 commits to master branch, last one 3 years ago
Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
Created
2022-02-09
695 commits to main branch, last one 6 days ago
This repository contains an official implementation of LPBNN.
Created
2020-11-21
15 commits to main branch, last one about a year ago
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
Created
2022-06-08
17 commits to main branch, last one about a year ago
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Created
2023-08-15
9 commits to main branch, last one 11 months ago