Rayhane-mamah/Efficient-VDVAE
Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
PythonMIT
Pinned issues
Issues
- 0
embeddings for TSNE
#17 opened by Odedbenc - 0
- 0
Checkpoints for compact (C1) models
#15 opened by treasan - 2
Applying DiscMixLogistic to non-image data
#14 opened by laplaceon - 0
How to use output of encoding mode
#13 opened by asokol123 - 5
Any plan to compute FID&IS scores?
#2 opened by Kim-Dongjun - 5
Simple L2 reconstruction loss?
#10 opened by SilenceMonk - 2
pytorch generation 1024 celeba_hq
#12 opened by miaoYuanyuan - 0
som questions about checkpoint
#11 opened by miaoYuanyuan - 1
Workaround for loading hparams without tf 1.x ?
#7 opened by turian - 2
How to preprocess a new dataset?
#9 opened by turian - 1
Unconditional generation without dataset
#8 opened by turian - 1
Incorrect Imagenet dataset
#6 opened by prafullasd - 2
comparison between jax vs torch
#5 opened by qsh-zh - 1
Discussion starter
#1 opened by Rayhane-mamah - 4
Compact models, configs, and checkpoints
#4 opened by msbauer - 3