bayesian-neural-networks topic
understanding-bayesian-classification
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
RATE
Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
temporal-smoothing
(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation
MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
VariationalAutoencoders
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
UString
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
BayesianNeuralNets
Bayesian neural networks in PyTorch
quantised-bayesian-nets
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
artificial_neural_networks
A collection of Methods and Models for various architectures of Artificial Neural Networks