PyTorch-VAE
disentangling-vae
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PyTorch-VAE | disentangling-vae | |
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5 | 1 | |
5,989 | 753 | |
- | - | |
0.0 | 0.0 | |
7 months ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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PyTorch-VAE
- Help with VAE
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Confusions on VAE implementation
I am a beginner in VAE implementation and I am currently going through codes here.
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Confusion regarding Variational AutoEncoder Implementation
I am referring to the code in the link here for VAE code. I have the following questions and confusions:
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How to extract feature from 2 tensors into one? what layer should be used?
Here's a repo that has a large number of VAE variants for Pytorch: https://github.com/AntixK/PyTorch-VAE
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VAEs
Face embedding with VAEs https://github.com/AntixK/PyTorch-VAE
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
What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
classification - Classification of the MNIST dataset using various Deep Learning techniques
qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
torch-metrics - Metrics for model evaluation in pytorch
CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.
minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.