bayesian-deep-learning | Topic | Ecosyste.ms: Repos

Topic: "bayesian-deep-learning"

uncertainty-toolbox/uncertainty-toolbox

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

Language: Python - Size: 4.11 MB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 1,892 - Forks: 137

kumar-shridhar/PyTorch-BayesianCNN

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

Language: Python - Size: 66.2 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 1,499 - Forks: 329

piEsposito/blitz-bayesian-deep-learning

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

Language: Python - Size: 324 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 957 - Forks: 110

OATML/bdl-benchmarks

Bayesian Deep Learning Benchmarks

Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 670 - Forks: 94

IntelLabs/bayesian-torch

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

Language: Python - Size: 255 KB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 588 - Forks: 80

js05212/BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

Size: 454 KB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 513 - Forks: 62

kyle-dorman/bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 465 - Forks: 105

junyuchen245/TransMorph_Transformer_for_Medical_Image_Registration

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Language: Python - Size: 37.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 430 - Forks: 70

bayesgroup/variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 312 - Forks: 45

google-deepmind/kfac-jax

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

Language: Python - Size: 843 KB - Last synced at: about 21 hours ago - Pushed at: about 22 hours ago - Stars: 272 - Forks: 27

kumar-shridhar/Master-Thesis-BayesianCNN

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Language: TeX - Size: 18.6 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 265 - Forks: 83

nitarshan/bayes-by-backprop 📦

PyTorch implementation of "Weight Uncertainty in Neural Networks"

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 157 - Forks: 47

ericmjl/bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

Language: CSS - Size: 141 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 123 - Forks: 39

fregu856/evaluating_bdl

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

Language: Python - Size: 183 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 121 - Forks: 29

ivannz/mlss2019-bayesian-deep-learning

MLSS2019 Tutorial on Bayesian Deep Learning

Language: Jupyter Notebook - Size: 189 KB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 91 - Forks: 34

obiyoag/BayeSeg

[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"

Language: Python - Size: 401 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 81 - Forks: 5

borchero/natural-posterior-network

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

Language: Python - Size: 1.05 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 79 - Forks: 12

xxxnell/spatial-smoothing

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

Language: Python - Size: 17.4 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 78 - Forks: 7

necludov/group-sparsity-sbp

Structured Bayesian Pruning, NIPS 2017

Language: Jupyter Notebook - Size: 159 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 73 - Forks: 14

cambridge-mlg/DUN

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

Language: Jupyter Notebook - Size: 34.8 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 71 - Forks: 11

langnico/GEDI-BDL

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".

Language: Python - Size: 30.3 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 53 - Forks: 23

JuliaTrustworthyAI/LaplaceRedux.jl

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

Language: Julia - Size: 119 MB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 47 - Forks: 5

SamsungLabs/deep-weight-prior

The Deep Weight Prior, ICLR 2019

Language: Jupyter Notebook - Size: 16 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 45 - Forks: 8

armanihm/GDC

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

Language: Python - Size: 1.69 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 44 - Forks: 15

makora9143/pytorch-convcnp

A PyTorch Implementation of Convolutional Conditional Neural Process.

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 42 - Forks: 2

IntelLabs/AVUC 📦

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

Language: Python - Size: 9.98 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 10

YingzhenLi/Dropout_BBalpha

Implementations of the ICML 2017 paper (with Yarin Gal)

Language: Python - Size: 25.4 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 40 - Forks: 11

giannifranchi/LP_BNN

This repository contains an official implementation of LPBNN.

Language: Python - Size: 688 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 39 - Forks: 6

ExplainableML/UncerGuidedI2I

Uncertainty Guided Progressive GANs for Medical Image Translation

Language: Jupyter Notebook - Size: 44.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 10

sungyubkim/MCDO

A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

Language: Jupyter Notebook - Size: 233 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 37 - Forks: 7

dtak/ocbnn-public

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

Language: Python - Size: 61.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 35 - Forks: 6

supernnova/SuperNNova

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

Language: Python - Size: 6.38 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 31 - Forks: 8

thudzj/ScalableBDL

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

Language: Python - Size: 5.56 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 3

DLR-RM/curvature

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

Language: Python - Size: 411 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 26 - Forks: 5

lucadellalib/bdl-rul-svgd

Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent

Language: Python - Size: 11.6 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 0

Wang-ML-Lab/bayesian-peft

[NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Language: Python - Size: 220 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 21 - Forks: 4

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.

Language: JavaScript - Size: 3.19 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 19 - Forks: 6

gaosh/Structured-Bayesian-Pruning-pytorch

pytorch implementation of Structured Bayesian Pruning

Language: Python - Size: 27.3 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 18 - Forks: 4

reml-lab/URSABench

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

Language: Python - Size: 110 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 2

DelTA-Lab-IITK/CADA

Attending to Discriminative Certainty for Domain Adaptation

Language: Lua - Size: 20 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 2

shangqigao/BayeSeg

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

Language: Python - Size: 164 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3

Frightera/Medium_Notebooks_English

This repo contains the notebooks that is used in Medium posts.

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 16 - Forks: 1

js05212/CollaborativeDeepLearning-TensorFlow

Officially unofficial TensorFlow code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD

Language: Python - Size: 56.2 MB - Last synced at: 4 days ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 3

lucadellalib/bayesian-deep-rul

Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components

Language: Python - Size: 5.4 MB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 3

akashmondal1810/UncertaintyEstimation

Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods

Language: Python - Size: 9.29 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 15 - Forks: 5

Wang-ML-Lab/interpretable-foundation-models

[ICML 2024] Probabilistic Conceptual Explainers (PACE): Trustworthy Conceptual Explanations for Vision Foundation Models

Language: Python - Size: 47.9 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 13 - Forks: 1

lucadellalib/bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

Language: Python - Size: 104 KB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 0

Mathepia/awesome-sciml

Awesome-spatial-temporal-scientific-machine-learning-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.

Language: JavaScript - Size: 1.56 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 1

thudzj/ELLA

Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')

Language: Python - Size: 412 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 3

mjpyeon/pytorch-bayes-by-backprop

PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 1

GDelCorso/ShedLight_UQ

Detailed implementations, Jupyter tutorials and complete packages to implement and test Probabilistic Bayesian Deep Learning models. The repository contains the software implementations of the techniques discussed in the review paper "Shedding light on uncertainties in machine learning: formal derivation and optimal model selection".

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 0

asajatovic/bayesian-deep-learning-text-classification

Language: Jupyter Notebook - Size: 257 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 10 - Forks: 1

cambridge-mlg/arch_uncert

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

Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 5

samuelebortolotti/bears

Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.

Language: Python - Size: 44.5 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 0

gauthamkrishna-g/ActiveHARNet

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition

Language: Jupyter Notebook - Size: 116 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 6

ronaldseoh/bayesian-dl-experiments

Bayesian deep learning experiments

Language: Jupyter Notebook - Size: 171 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 2

ExplainableML/ProbVLM

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models

Language: Python - Size: 1.89 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

guxm2021/ECBNN

[NeurIPS 2022] Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation

Language: Python - Size: 1.15 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

junyuchen245/Registration_Uncertainty

From Registration Uncertainty to Segmentation Uncertainty (PyTorch)

Language: Python - Size: 1.34 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 6 - Forks: 0

ronaldseoh/ronald_bdl

An experimental Python package for learning Bayesian Neural Network.

Language: Python - Size: 60.5 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1

taldatech/tf-bgd

Bayesian Gradient Descent Algorithm Model for TensorFlow

Language: Jupyter Notebook - Size: 364 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 0

js05212/RDL

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

Language: Matlab - Size: 9.34 MB - Last synced at: 4 days ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 3

AaltoML/BayesVLM

Code for Post-hoc Probabilistic Vision-Language Models

Language: Python - Size: 70.5 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 5 - Forks: 1

parachutel/bayes-by-backprop

Implementing Bayes by Backprop with PyTorch. Applied on time-series prediction.

Language: Python - Size: 1.38 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0

Sheev13/bnn-mean-field-vi

Language: Jupyter Notebook - Size: 3.27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

ARenanse/LGPT

Langevin Gradient Parallel Tempering for Bayesian Neural Learning.

Language: Jupyter Notebook - Size: 242 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

Song921012/MathEpiDeepLearningTutorial

Tutorials on math epidemiology and epidemiology informed deep learning methods

Language: Julia - Size: 57.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

Feuermagier/Beyond_Deep_Ensembles

Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

Language: Jupyter Notebook - Size: 2.65 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

slowmoyang/BayesianDeepLearning

Language: Jupyter Notebook - Size: 49.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 3

Jordy-VL/uncertainty-bench

Code repository for **Benchmarking Scalable Predictive Uncertainty in Text Classification**, by Jordy Van Landeghem, Matthew Blaschko, Bertrand Anckaert and Marie-Francine Moens.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

mike-gimelfarb/contextual-policy-reuse-deep-rl

Framework for Contextually Transferring Knowledge from Multiple Source Policies in Deep Reinforcement Learning

Size: 7.81 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

slowmoyang/bayesian-deep-learning

Language: Python - Size: 1.69 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

ZINZINBIN/Bayesian-Disruption-Prediction

Research-repository: Bayesian neural networks for predicting disruptions using EFIT and diagnostic data in KSTAR

Language: Jupyter Notebook - Size: 31.6 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

wataruhashimoto52/bayesian-deep-learning

Inference Algorithms for Bayesian Deep Learning

Language: Python - Size: 68.4 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

tmgrgg/localvsglobaluncertainty

Empirical analysis of recent stochastic gradient methods for approximate inference in Bayesian deep learning, including SWA-Gaussian, MultiSWAG, and deep ensembles. See report_localglobal.pdf.

Language: Python - Size: 13.8 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

udion/UncerGuidedI2I

Uncertainty Guided Progressive GANs for Medical Image Translation

Language: Jupyter Notebook - Size: 44.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

FedericoVasile1/bayesian-cnn

Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout

Language: Jupyter Notebook - Size: 49.3 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

ronaldseoh/DropoutUncertaintyExps Fork of yaringal/DropoutUncertaintyExps

(Forked Version) Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

Language: Jupyter Notebook - Size: 5.11 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 2

mariobecerra/Active_Learning_CNNs

Active Learning with approximations of Bayesian Convolutional Neural Networks.

Language: R - Size: 198 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

sbieringer/AdamMCMC

"AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization"

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

sbieringer/how_to_bayesianise_your_NN

Quick tutorial on using BNN with Normalizing Flows

Language: Jupyter Notebook - Size: 790 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

YaoXinZhi/PheSeq

PheSeq, A Bayesian Deep Learning Model to Enhance and Interpret the Gene Disease Association Studies

Language: Python - Size: 102 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 2

Tinker-Twins/Probabilistic-Deep-Learning

Notes and Experiments with Probabilistic Deep Learning Models

Language: Jupyter Notebook - Size: 146 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

cplou99/BayesianDL

We provide two notebooks that enable users to explore and experiment with some BDL techniques as Ensembles, MC Dropout and Laplace Approximation. In this way, they allow you to intuitively visualize the main differences among them in a Simulated Dataset and Boston Dataset.

Language: Jupyter Notebook - Size: 5.39 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0