Projects in Awesome Lists tagged with bayesian-neural-networks

A curated list of projects in awesome lists tagged with bayesian-neural-networks .

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https://github.com/turinglang/turing.jl

Bayesian inference with probabilistic programming.

artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing

Last synced: 25 Apr 2025

https://github.com/TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing

Last synced: 15 Mar 2025

https://github.com/javierantoran/bayesian-neural-networks

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

approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference

Last synced: 07 Apr 2025

https://github.com/JavierAntoran/Bayesian-Neural-Networks

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

approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference

Last synced: 01 May 2025

https://github.com/uncertainty-toolbox/uncertainty-toolbox

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

bayesian-deep-learning bayesian-neural-networks calibration metrics predictive-uncertainty recalibration scoring-rules sharpness toolbox uncertainty uncertainty-calibration uncertainty-estimation uncertainty-metrics uncertainty-quantification uncertainty-toolbox visualization visualizations

Last synced: 11 Apr 2025

https://github.com/kumar-shridhar/pytorch-bayesiancnn

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

aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference

Last synced: 07 Apr 2025

https://github.com/kumar-shridhar/PyTorch-BayesianCNN

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

aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference

Last synced: 26 Mar 2025

https://github.com/piesposito/blitz-bayesian-deep-learning

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

bayesian-deep-learning bayesian-layers bayesian-neural-networks pytorch pytorch-implementation pytorch-tutorial

Last synced: 14 Apr 2025

https://github.com/piEsposito/blitz-bayesian-deep-learning

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

bayesian-deep-learning bayesian-layers bayesian-neural-networks pytorch pytorch-implementation pytorch-tutorial

Last synced: 27 Jan 2025

https://github.com/intellabs/bayesian-torch

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

bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 13 Apr 2025

https://github.com/kumar-shridhar/master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

bayesian-deep-learning bayesian-inference bayesian-neural-networks convolutional-neural-networks generative-adversarial-network super-resolution

Last synced: 03 Apr 2025

https://github.com/ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

active-learning bayesian-inference bayesian-neural-networks bayesian-optimization deep-kernel-learning gaussian-processes hypothesis-learning machine-learning multi-fidelity-learning

Last synced: 08 Apr 2025

https://github.com/lightning-uq-box/lightning-uq-box

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

bayesian-neural-networks conformal-prediction deep-learning earth-observation predictive-uncertainty pytorch pytorch-lightning uncertainty-quantification

Last synced: 12 Apr 2025

https://github.com/brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

bayesian bayesian-inference bayesian-methods bayesian-neural-networks bayesian-statistics data-science machine-learning python pytorch statistics tensorflow

Last synced: 07 Apr 2025

https://github.com/huawei-noah/bgcn

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

bayesian-graph-neural-networks bayesian-neural-networks gcn gnn graph-convolutional-network graph-convolutional-neural-networks graph-learning graph-neural-networks

Last synced: 09 Apr 2025

https://github.com/j-min/dropouts

PyTorch Implementations of Dropout Variants

bayesian-neural-networks dropout gaussian-dropout local-reparametrization-trick pytorch variational-dropout variational-inference

Last synced: 19 Nov 2024

https://github.com/xxxnell/spatial-smoothing

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

bayesian-deep-learning bayesian-neural-networks neural-network pytorch robustness uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 08 May 2025

https://github.com/pomonam/noisynaturalgradient

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

bayesian-inference bayesian-neural-networks natural-gradients variational-inference

Last synced: 06 Jan 2025

https://github.com/kourouklides/artificial_neural_networks

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

artificial-neural-networks bayesian-inference bayesian-learning bayesian-neural-networks data-science deep-learning deep-neural-networks edward edward2 keras machine-learning machine-learning-algorithms machinelearning neural-networks probabilistic-modeling probabilistic-models python tensorflow variational-inference

Last synced: 18 Nov 2024

https://github.com/gd-zhang/noisy-k-fac

Natural Gradient, Variational Inference

bayesian-inference bayesian-neural-networks natural-gradients uncertainty-estimation variational-inference

Last synced: 12 Apr 2025

https://github.com/activatedgeek/understanding-bayesian-classification

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

aleatoric-uncertainty bayesian-inference bayesian-neural-networks classification deep-learning machine-learning paper research uncertainty-quantification

Last synced: 12 Apr 2025

https://github.com/lucadellalib/bdl-rul-svgd

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

bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks c-mapss deep-learning machine-learning predictive-maintenance python pytorch remaining-useful-life stein-variational-gradient-descent variational-inference

Last synced: 29 Dec 2024

https://github.com/episci/safeai

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

bayesian-neural-networks classification models tensorflow uncertainty

Last synced: 21 Mar 2025

https://github.com/lucadellalib/bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks deep-learning machine-learning markov-chain-monte-carlo python pytorch stein-variational-gradient-descent uncertainty-quantification variational-inference

Last synced: 13 Apr 2025

https://github.com/ramon-oliveira/deepstats

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

bayesian-neural-networks deep-learning

Last synced: 20 Dec 2024

https://github.com/rylanschaeffer/harvardam207-prior-networks

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

bayesian-neural-networks neurips-2018 nips nips-2018 prior-networks

Last synced: 13 Feb 2025

https://github.com/kumar-shridhar/pytorch-bayesian-super-resolution

Super Resolution using Bayesian CNN

bayesian bayesian-convnets bayesian-inference bayesian-neural-networks convolutional-neural-networks pytorch super-resolution

Last synced: 12 Apr 2025

https://github.com/piyush-555/vcl-in-pytorch

PyTorch implementation of Variational Continual Learning

bayesian-neural-networks continual-learning lifelong-learning pytorch variational-inference

Last synced: 12 Apr 2025

https://github.com/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.

bayesian-inference bayesian-neural-networks deep-learning fraud-detection probabilistic-programming variational-autoencoder variational-inference

Last synced: 08 May 2025

https://github.com/haardikk21/scammy-ico-ai

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

bayesian-neural-networks blockchain cryptocurrency golang ico

Last synced: 23 Mar 2025

https://github.com/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.

bayesian-neural-networks data-visualization deep-neural-networks fast-gradient-sign-attack pandas-dataframe pyro pytorch

Last synced: 14 Apr 2025

https://github.com/mlech26l/bayesian_nn_safety

Code repository of the NeurIPS 2021 paper Infinite Time Horizon Safety of Bayesian Neural Networks

bayesian-deep-learning bayesian-neural-networks neural-networks

Last synced: 03 Apr 2025

https://github.com/wmkouw/vbnn-filter

Variational Bayesian neural network for filtering and smoothing.

bayesian-neural-networks filtering smoothing variational-bayes

Last synced: 04 Apr 2025

https://github.com/kaleidophon/tenacious-toucan

Master thesis for the MSc. Artificial Intelligence at the Universiteit van Amsterdam, 2019

bayesian-deep-learning bayesian-neural-networks diagnostic-classifiers gradients interventions lstm master-thesis mc-dropout rnn uncertainty

Last synced: 02 Apr 2025

https://github.com/peterajhgraham/bnn_biological_network_inference

This repository contains a Bayesian Neural Network (BNN) based analysis tool for biological network inference that can be used with various datasets. It is programmed in Python along with the torch, torchbnn, pandas, scikit-learn, and matplotlib libraries.

bayesian-neural-networks computational-biology computational-genomics computational-neuroscience computational-pharmacology computational-systems-biology

Last synced: 11 Apr 2025

https://github.com/sharanry/uncertaintyquantification

Code for Connection between Uncertainty Quantification and Gaussian Prior Parameters

bayesian-neural-networks uncertainty-quantification

Last synced: 15 Mar 2025

https://github.com/dmetivie/abcmethods.jl

A Julia package implementing some Bayesian ABC methods

abc abc-smc bayesian bayesian-neural-networks julia

Last synced: 12 Mar 2025