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IntelLabs
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bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
BSD 3-Clause "New" or "Revised" License
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There are questions about function fitting (variational Bayesian network)
#37
dashangyanhua
opened
1 week ago
2
Inconsistent use of mean & sum when calculating KL divergence?
#36
profPlum
opened
7 months ago
0
Added Skew geometric jensen-shannon divergence
#35
rewat7
opened
9 months ago
0
problem in conv_transpose2d
#34
amirshamaei
closed
10 months ago
1
Improved Readme
#33
arose13
opened
1 year ago
0
dnn_to_bnn() does not support Conv2d with non-square kernels
#32
bryanmooremd
closed
1 year ago
4
number of MC samples for training and inference
#31
dzy666fly
closed
10 months ago
2
Add quant prepare functions
#30
junliang-lin
closed
10 months ago
1
Implement quant prepare function
#29
ranganathkrishnan
closed
10 months ago
0
Add ImageNet example
#28
junliang-lin
closed
1 year ago
0
Quantizatize bayesian cifar runtime error
#27
szhaoesat
closed
1 year ago
4
Calculation of ELBO in Bayesian layers seems to mismatch the equation in the original paper
#26
dzy666fly
closed
1 year ago
3
Wrong output for regression
#25
AmosJoseph
closed
1 year ago
3
local variable 'kl' referenced before assignment when using flipout in dnn_to_bnn()
#24
barghit
closed
10 months ago
3
Add support for Bayesian neural network quantization
#23
junliang-lin
closed
1 year ago
0
Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
#22
feracero
opened
1 year ago
8
Error in trans_conv2d when model is reparametrized
#21
rameshamurtaza
closed
10 months ago
2
Add support for output padding in flipout layers
#20
junliang-lin
closed
1 year ago
1
KL divergence not changing during training
#19
gkwt
closed
1 year ago
4
Added support for arbitrary kernel sizes for Bayesian Conv layers
#18
msubedar
closed
1 year ago
0
Kernel_size
#17
flydephone
closed
1 year ago
1
Batchnorm layer
#16
fzimmermann89
closed
1 year ago
1
Variance/standard deviation
#15
jeiglsperger
closed
2 years ago
1
dnn_to_bnn() with LSTM network
#14
jeiglsperger
closed
2 years ago
1
conv_transpose2d parameter order problem
#13
pierreosselin
closed
2 years ago
4
kl_loss function in Convolutional flipout layers
#12
ranganathkrishnan
closed
2 years ago
1
Dnn2bnn
#11
msubedar
closed
2 years ago
1
The average should be taken over log probability rather than logits
#10
Nebularaid2000
closed
2 years ago
5
Let the models return prediction only, saving KL Divergence as an attribute
#9
piEsposito
closed
2 years ago
3
Enable the Bayesian layer to freeze the parameters to their mean values
#8
Nebularaid2000
closed
2 years ago
2
FR: Enable forward method of Bayesian Layers to return value only for smoother integration with PyTorch
#7
piEsposito
closed
2 years ago
2
Pytorch version issue
#6
hebowei2000
closed
3 years ago
4
How bayesian network be used in quantization?
#5
LeopoldACC
closed
1 year ago
2
modifing the Scripts for any arbitrary output size
#4
narminGhaffari
closed
3 years ago
2
add mu_kernel to of delta_kernel in flipout layers?
#3
burntcobalt
closed
3 years ago
2
Fix KL computation
#2
y0ast
closed
3 years ago
3
Shape error during LSTM forward pass
#1
anirudhs96
closed
3 years ago
0