IntelLabs / bayesian-torch

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

IntelLabs/bayesian-torch Issues

Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
Updated 2 months ago5
Inconsistent use of mean & sum when calculating KL divergence?
Updated 2 months ago
number of MC samples for training and inference
Closed 6 months ago2
problem in conv_transpose2d
Closed 6 months ago1
Error in trans_conv2d when model is reparametrized
Closed 6 months ago2
local variable 'kl' referenced before assignment when using flipout in dnn_to_bnn()
Closed 6 months ago3
Implement quant prepare function
Closed 6 months ago
dnn_to_bnn() does not support Conv2d with non-square kernels
Closed 7 months ago4
Quantizatize bayesian cifar runtime error
Closed 9 months ago4
Calculation of ELBO in Bayesian layers seems to mismatch the equation in the original paper
Closed 9 months ago3
How bayesian network be used in quantization?
Closed a year ago2
Wrong output for regression
Closed a year ago3
conv_transpose2d parameter order problem
Closed 2 years ago4
KL divergence not changing during training
Closed a year ago4
Kernel_size
Closed 2 years ago1
Batchnorm layer
Closed 2 years ago1
Variance/standard deviation
Closed 2 years ago1
The average should be taken over log probability rather than logits
Closed 2 years ago5
dnn_to_bnn() with LSTM network
Closed 2 years ago1
kl_loss function in Convolutional flipout layers
Closed 3 years ago1
FR: Enable forward method of Bayesian Layers to return value only for smoother integration with PyTorch
Closed 3 years ago2
Enable the Bayesian layer to freeze the parameters to their mean values
Closed 3 years ago2
modifing the Scripts for any arbitrary output size
Closed 3 years ago2
Pytorch version issue
Closed 3 years ago4
add mu_kernel to of delta_kernel in flipout layers?
Closed 3 years ago2
Shape error during LSTM forward pass
Closed 3 years ago