PyTorch-VAE
vae-anomaly-detector
| PyTorch-VAE | vae-anomaly-detector | |
|---|---|---|
| 5 | 1 | |
| 6,054 | 67 | |
| - | - | |
| 0.0 | 0.0 | |
| 11 days ago | 11 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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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
vae-anomaly-detector
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Are there VAEs specific to 1d inputs instead of images?
Recently ran into this same issue. Here is a repo for a 1D VAE that I found to be clear and well implemented. Python code for the VAE here.
What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
precision-recall-distributions - Assessing Generative Models via Precision and Recall (official repository)
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
ODMO - [ACMMM 2022] Official PyTorch Implementation of "Action-conditioned On-demand Motion Generation". ACM MultiMedia 2022.
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
fcdd - Repository for the Explainable Deep One-Class Classification paper
qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
torch-metrics - Metrics for model evaluation in pytorch
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Amortized-SVGD-GAN - Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
Advanced-Deep-Learning-with-Keras - Advanced Deep Learning with Keras, published by Packt