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39 search results found

Uncertainty Toolbox ⭐ 1,421

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Pytorch Bayesiancnn ⭐ 1,181

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Blitz Bayesian Deep Learning ⭐ 817

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Bdl Benchmarks ⭐ 571

Bayesian Deep Learning Benchmarks

Bayesiandeeplearning Survey ⭐ 475

Bayesian Deep Learning: A Survey

Bayesian Torch ⭐ 396

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Bayesian Neural Network Blogpost ⭐ 317

Building a Bayesian deep learning classifier

Variational Dropout Sparsifies Dnn ⭐ 306

Sparse Variational Dropout, ICML 2017

Transmorph_transformer_for_medical_image_registration ⭐ 302

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Master Thesis Bayesiancnn ⭐ 197

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Kfac Jax ⭐ 178

Second Order Optimization and Curvature Estimation with K-FAC in JAX.

Group Sparsity Sbp ⭐ 70

Structured Bayesian Pruning, NIPS 2017

Evaluating_bdl ⭐ 70

Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

Mlss2019 Bayesian Deep Learning ⭐ 63

MLSS2019 Tutorial on Bayesian Deep Learning

Natural Posterior Network ⭐ 59

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Spatial Smoothing ⭐ 51

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Dropout_bbalpha ⭐ 41

Implementations of the ICML 2017 paper (with Yarin Gal)

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

Deep Weight Prior ⭐ 38

The Deep Weight Prior, ICLR 2019

This repository contains an official implementation of LPBNN.

Laplaceredux.jl ⭐ 30

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Ocbnn Public ⭐ 27

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

Supernnova ⭐ 26

Open Source Photometric classification https://supernnova.readthedocs.io

Gedi Bdl ⭐ 22

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".

Pytorch Convcnp ⭐ 18

A PyTorch Implementation of Convolutional Conditional Neural Process.

Structured Bayesian Pruning Pytorch ⭐ 18

pytorch implementation of Structured Bayesian Pruning

Scalablebdl ⭐ 15

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

Mathepideeplearning ⭐ 15

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

Attending to Discriminative Certainty for Domain Adaptation

The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch

Ursabench ⭐ 12

Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"

Arch_uncert ⭐ 6

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

Bayesiandeeplearning ⭐ 6

Overview of Bayesian Deep Learning

Curvature ⭐ 6

Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.

Code for 'Relational Deep Learning: A Deep Latent Variable Model for Link Prediction' - AAAI

Bayesian Gradient Descent Algorithm Model for TensorFlow

Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation (NeurIPS 2022)

1-39 of 39 search results

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