Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. (by matthewvowels1)
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch. (by AntixK)
Our great sponsors
Awesome-VAEs | PyTorch-VAE | |
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1 | 5 | |
755 | 5,989 | |
- | - | |
0.0 | 0.0 | |
almost 3 years ago | 6 months ago | |
Python | ||
- | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome-VAEs
Posts with mentions or reviews of Awesome-VAEs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-29.
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VAEs
List of VAE projects/works: https://github.com/matthewvowels1/Awesome-VAEs
PyTorch-VAE
Posts with mentions or reviews of PyTorch-VAE.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-29.
- 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
What are some alternatives?
When comparing Awesome-VAEs and PyTorch-VAE you can also consider the following projects:
awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline