issues
search
vlievin
/
biva-pytorch
Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
MIT License
81
stars
11
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Bump certifi from 2019.9.11 to 2022.12.7
#14
dependabot[bot]
opened
1 year ago
0
Bump pillow from 8.3.2 to 9.3.0
#13
dependabot[bot]
opened
1 year ago
0
Bump numpy from 1.17.3 to 1.22.0
#12
dependabot[bot]
opened
2 years ago
0
Bump pillow from 8.3.2 to 9.0.1
#11
dependabot[bot]
closed
1 year ago
1
Bump pillow from 8.3.2 to 9.0.0
#10
dependabot[bot]
closed
2 years ago
1
Bump pillow from 8.2.0 to 8.3.2
#9
dependabot[bot]
closed
3 years ago
0
Bump pillow from 6.2.1 to 8.2.0
#8
dependabot[bot]
closed
3 years ago
0
Why does loss use same distribution for q and p?
#7
jvdillon
closed
3 years ago
1
Bump pillow from 6.2.1 to 8.1.1
#6
dependabot[bot]
closed
3 years ago
1
Network configuration for 64x64 natural image dataset
#5
yangyu12
opened
4 years ago
4
Problem when sampling from the posterior
#4
ReubenDo
closed
4 years ago
1
Role of the "projection" layer
#3
ReubenDo
closed
4 years ago
2
Fix import of Diagnostic from booster.
#2
martinengelcke
closed
4 years ago
0
Use correct stages when creating a VAE or BIVA model.
#1
martinengelcke
closed
4 years ago
1