disentangling-vae
CelebAMask-HQ
disentangling-vae | CelebAMask-HQ | |
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1 | 1 | |
766 | 2,008 | |
- | - | |
0.0 | 10.0 | |
over 1 year ago | about 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
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disentangling-vae
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[P] Python library for Variational Autoencoder benchmarking
There is a good repo of different beta-vae models here: https://github.com/YannDubs/disentangling-vae
CelebAMask-HQ
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Updated code for MaskGAN.
There was no code to train before, but I wrote it myself and the source of this code is as follows github : https://github.com/switchablenorms/CelebAMask-HQ
What are some alternatives?
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
Face_customizing - MaskGAN, face parsing, recognition, generation and editing. + train code
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data
Face Recognition - The world's simplest facial recognition api for Python and the command line
classification - Classification of the MNIST dataset using various Deep Learning techniques
BSN - [NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
ALAE - [CVPR2020] Adversarial Latent Autoencoders
minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.
insightface - State-of-the-art 2D and 3D Face Analysis Project