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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
Bayesian Deep Learning: A Survey
Created
2019-07-17
161 commits to master branch, last one 24 days 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 5 months ago
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
Created
2021-06-30
421 commits to main branch, last one 7 months ago
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Created
2022-03-18
212 commits to main branch, last one 2 days 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 about a year 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 2 years ago
BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability
Created
2023-07-14
3 commits to main branch, last one 3 months 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 2 years ago
Uncertainty Guided Progressive GANs for Medical Image Translation
Created
2021-06-29
10 commits to main branch, last one 2 years ago
The Deep Weight Prior, ICLR 2019
Created
2019-02-18
11 commits to master branch, last one 3 years ago
This repository contains an official implementation of LPBNN.
Created
2020-11-21
15 commits to main branch, last one 12 months ago
Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
Created
2022-02-09
443 commits to main branch, last one 11 days 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 6 months ago