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Top 13 bayesian-neural-networks open source projects

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

✭ 18

python deep-learning pandas pytorch recurrent-neural-networks reproducible-science cosmology arxiv bayesian-statistics bayesian-neural-networks bayesian-deep-learning supernova

ocbnn-public

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

✭ 31

python paper bnns bayesian-neural-networks bayesian-deep-learning oc-bnn

Dropouts

PyTorch Implementations of Dropout Variants

✭ 72

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

noisy-K-FAC

Natural Gradient, Variational Inference

✭ 29

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

BayesianNeuralNets

Bayesian neural networks in PyTorch

✭ 17

python tutorial deep-learning pytorch bayesian bayesian-neural-networks

artificial neural networks

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

✭ 40

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UString

[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation

✭ 38

python shell traffic-analysis accidents uncertainty-estimation bayesian-neural-networks spatio-temporal-modeling

BayesByHypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

✭ 63

Jupyter Notebook python deep-neural-networks deep-learning tensorflow variational-inference bayesian-neural-networks

pytorch ard

Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks

✭ 76

python machine-learning deep-learning pytorch neural-networks ard bayesian-neural-networks

SafeAI

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

✭ 13

python tensorflow models uncertainty classification bayesian-neural-networks

DUN

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

BGCN

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

✭ 129

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

spatial-smoothing

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

✭ 68

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

1-13 of 13 bayesian-neural-networks projects