bayesian-neural-networks | Topic

Topic: "bayesian-neural-networks"

TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

Language: Julia - Size: 36.8 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 2,133 - Forks: 226

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: 17 days ago - Pushed at: 3 months ago - Stars: 1,896 - Forks: 137

JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 1,893 - Forks: 308

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 158 KB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 1,527 - Forks: 128

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: 17 days ago - Pushed at: about 1 year ago - Stars: 1,498 - 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: 10 days ago - Pushed at: over 1 year ago - Stars: 958 - Forks: 110

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: 17 days ago - Pushed at: about 2 months ago - Stars: 590 - Forks: 80

kumar-shridhar/Master-Thesis-BayesianCNN

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Language: TeX - Size: 18.6 MB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 265 - Forks: 83

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 53.3 MB - Last synced at: 7 days ago - Pushed at: 8 months ago - Stars: 222 - Forks: 29

lightning-uq-box/lightning-uq-box

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Language: Python - Size: 47 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 181 - Forks: 19

brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

Language: Python - Size: 3.23 MB - Last synced at: 20 days ago - Pushed at: almost 3 years ago - Stars: 174 - Forks: 16

huawei-noah/BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Language: Python - Size: 5.78 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 159 - Forks: 46

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

xwinxu/bayeSDE

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

Language: Python - Size: 46.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 145 - Forks: 24

ykwon0407/UQ_BNN

Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 126 - Forks: 21

j-min/Dropouts

PyTorch Implementations of Dropout Variants

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 24 days ago - Pushed at: over 7 years ago - Stars: 87 - Forks: 18

HolyBayes/pytorch_ard

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

Language: Python - Size: 60.5 KB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 83 - Forks: 17

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: about 1 month ago - Pushed at: almost 3 years ago - Stars: 78 - Forks: 7

anassinator/bnn

Bayesian Neural Network in PyTorch

Language: Python - Size: 415 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 76 - Forks: 25

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

ziatdinovmax/NeuroBayes

Fully and Partially Bayesian Neural Nets

Language: Python - Size: 129 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 69 - Forks: 9

pawni/BayesByHypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 65 - Forks: 16

pomonam/NoisyNaturalGradient

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

Language: Python - Size: 2.67 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 60 - Forks: 8

Cogito2012/UString

[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation

Language: Python - Size: 18.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 52 - Forks: 19

HumBug-Mosquito/HumBugDB

Acoustic mosquito detection code with Bayesian Neural Networks

Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 47 - Forks: 16

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

kourouklides/artificial_neural_networks

A collection of Methods and Models for various architectures of Artificial Neural Networks

Language: Python - Size: 6.61 MB - Last synced at: 27 days ago - Pushed at: 10 months ago - Stars: 41 - Forks: 11

sungyubkim/MCDO

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

Language: Jupyter Notebook - Size: 233 KB - Last synced at: over 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: over 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: 3 days ago - Pushed at: 3 days ago - Stars: 31 - Forks: 8

konstantinos-p/Bayesian-Neural-Networks-Reading-List

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

Size: 82 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 2

gd-zhang/noisy-K-FAC

Natural Gradient, Variational Inference

Language: Python - Size: 296 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 29 - Forks: 5

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

dtak/hip-mdp-public

Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

Language: Python - Size: 170 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 27 - Forks: 11

ibarrond/VariationalAutoencoders

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Language: Jupyter Notebook - Size: 1.71 GB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 16

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: 2 months ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 0

MauroCE/PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Language: Python - Size: 690 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 22 - Forks: 3

activatedgeek/understanding-bayesian-classification

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 21 - Forks: 1

xxxnell/temporal-smoothing

(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation

Language: Jupyter Notebook - Size: 88.8 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 3

martinferianc/BayesianNeuralNets

Bayesian neural networks in PyTorch

Language: Python - Size: 24.5 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 19 - Forks: 3

DelTA-Lab-IITK/U-CAM

Visual Explanation using Uncertainty based Class Activation Maps

Language: Python - Size: 4.21 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 3

martinferianc/quantised-bayesian-nets

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

Language: Python - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 2

lorinanthony/RATE

Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures

Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 4

EpiSci/SafeAI

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Language: Python - Size: 192 KB - Last synced at: 13 days ago - Pushed at: over 6 years ago - Stars: 14 - Forks: 8

lucadellalib/bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

Language: Python - Size: 104 KB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 0

anassinator/pddp

WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch

Language: Jupyter Notebook - Size: 6.56 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 2

samuelkim314/DeepBO

Deep Bayesian Optimization for Problems with High-Dimensional Structure

Language: Python - Size: 2.29 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

RylanSchaeffer/HarvardAM207-prior-networks

Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks

Language: Jupyter Notebook - Size: 53.2 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 1

navneet-nmk/Probabilisitc-Pytorch

Deep Probabilistic Programming Examples in Pytorch using pyro

Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: 7 months ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 2

ramon-oliveira/deepstats

Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.

Language: Jupyter Notebook - Size: 55.6 MB - Last synced at: 2 months ago - Pushed at: over 8 years ago - Stars: 12 - Forks: 5

HumBug-Mosquito/MozzBNN

A BCNN prediction pipeline to discover mosquito sounds from audio.

Language: Jupyter Notebook - Size: 215 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 11 - Forks: 1

deargen/MT-ENet

Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022

Language: Python - Size: 14.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 0

martinferianc/ComBiNet

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

Language: Python - Size: 19.5 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 1

jiwoncpark/baobab

Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks

Language: Python - Size: 1.44 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 2

os-hxfan/BayesNN_FPGA

FPGA-based hardware acceleration for dropout-based Bayesian Neural Networks.

Language: Python - Size: 89.8 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 0

fabio-deep/Deep-Bayesian-Self-Training

Deep Bayesian Self-Training [official implementation]

Language: Python - Size: 29.3 KB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 4

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

gauthamkrishna-g/ActiveHARNet

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

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

nitarshan/bayesian-neural-networks

Edward implementation of Bayesian Neural Networks

Language: Jupyter Notebook - Size: 97.7 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 2

Piyush-555/VCL-in-PyTorch

PyTorch implementation of Variational Continual Learning

Language: Python - Size: 819 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 1

hsvgbkhgbv/Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learning

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning

Language: Python - Size: 77.1 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 1

kumar-shridhar/PyTorch-Bayesian-Super-Resolution

Super Resolution using Bayesian CNN

Language: Python - Size: 2.14 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 3

SUwonglab/CausalBGM

An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Language: Python - Size: 2.43 MB - Last synced at: 12 days ago - Pushed at: 15 days ago - Stars: 6 - Forks: 4

riccardodesanti/probabilistic-AI

Projects of the Probabilistic Artificial Intelligence class at ETH Zurich

Language: Python - Size: 24.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 2

atabas/Major-Research-Project

Developing a Confidence Measure Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: about 2 years ago - Pushed at: over 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

lbasora/bnnrul

Tools to test BNN inference algorithms and techniques to predict RUL on aeronautical systems.

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

yardenas/probabilistic-regression

A short tutorial on Bayesian Neural Networks with JAX

Language: Jupyter Notebook - Size: 6.7 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 2

MohamedHmini/Paysim-Fraud-Detection-using-VAE-and-BNN

fraud detection on the paysim dataset, with the use of VAE to perform data-augmentation and BNN to classify the datapoints.

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

AaltoML/sfr

PyTorch implementation of Sparse Function-space Representation of Neural Networks

Language: Jupyter Notebook - Size: 100 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

marinadunn/thesis

Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"

Language: Jupyter Notebook - Size: 103 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - 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

AISIGSJTU/AS

Improving Bayesian Neural Networks by Adversarial Sampling

Language: Python - Size: 29.3 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

DensoITLab/featurePI

Feature Space Particle Inference for Neural Network Ensembles (ICML2022)

Language: Python - Size: 152 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

AISIGSJTU/SEBR

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization

Language: Python - Size: 1.69 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

itsayushthada/Probabislitc-Deep-Learning

Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 3

thomaspinder/bayesian_uncertainty_adversaries

Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs

Language: HTML - Size: 88.5 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

Nandarhline/BayesianNN

BayesianNN: Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification

Language: Jupyter Notebook - Size: 2.69 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 1

thecml/UE-BNNSurv

Official TensorFlow implementation of Uncertainty Estimation in Deep Bayesian Survival Models (BHI 2023)

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

chrhenning/uncertainty_based_ood

Exploring the link between uncertainty estimates obtained via "exact" Bayesian inference and out-of-distribution (OOD) detection.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

OnnoKampman/variational-nnet-sbm

Neural Network based Stochastic Blockmodel using Variational Inference

Language: Python - Size: 21.5 KB - Last synced at: 6 months ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0

haardikk21/scammy-ico-ai

A naive bayesian classifier which tells you if an ICO is a scam based on it's whitepaper abstract

Language: Go - Size: 1.12 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

ctpeterson/SwissFit

General-purpose library for fitting models to data with correlated Gaussian-distributed noise

Language: Python - Size: 2.01 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

AISIGSJTU/IBBNN

Information Bound and its Applications in Bayesian Neural Networks

Language: Python - Size: 811 KB - Last synced at: about 1 year ago - Pushed at: over 1 year 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

helloissac/bayesian-structured-time-series-mcmc-parallel-tempering

Bayesian Structured Time Series Analysis with Parallel Tempering for Stock Market Prediction

Language: Python - Size: 4.46 MB - Last synced at: 6 months ago - Pushed at: over 2 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: over 4 years ago - Stars: 2 - Forks: 1

Framartin/transferable-bnn-adv-ex

Source of the UAI2022 paper "Efficient and Transferable Adversarial Examples from Bayesian Neural Networks"

Language: Python - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

fabian-hk/FGSM-Attack-Bayesian-Neural-Networks

Comparison of the impact the Fast Gradient Sign Attack has on a Deep Neural Networks and a Bayesian Neural Networks.

Language: Python - Size: 215 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

mariobecerra/Active_Learning_CNNs

Active Learning with approximations of Bayesian Convolutional Neural Networks.

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

GINK03/edward-bayesian-neural-network

Edward Bayesian Neural Network

Language: Python - Size: 1.14 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 2

EmanuelSommer/sampled-approx-posteriors

Code for the FPI @ ICLR (2025, oral) & AABI 2025 workshop paper: Approximate Posteriors in Neural Networks: A Sampling Perspective

Language: Python - Size: 37.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

juanfierro94/ct-scan-modeling-thesis-bayesian-deterministic

This repository contains code and resources for my thesis project on uncertainty estimation in computed tomography (CT) scan modeling. Explore Bayesian and deterministic neural network architectures for CT analysis and compare their effectiveness in quantifying uncertainty.

Language: Jupyter Notebook - Size: 106 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0