Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. (by matthewvowels1)
benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022) (by clementchadebec)
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Awesome-VAEs | benchmark_VAE | |
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1 | 4 | |
755 | 1,680 | |
- | - | |
0.0 | 6.1 | |
almost 3 years ago | 19 days 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
benchmark_VAE
Posts with mentions or reviews of benchmark_VAE.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-08.
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Researchers From INRIA France Propose ‘Pythae’: An Open-Source Python Library Unifying Common And State-of-the-Art Generative AutoEncoder (GAE) Implementations
Continue reading | Checkout the paper, github
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[P] Pythae - Unifying generative autoencoder implementations in Python
Code for https://arxiv.org/abs/2206.08309 found: https://github.com/clementchadebec/benchmark_VAE
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[P] Python library for Variational Autoencoder benchmarking
Github link: https://github.com/clementchadebec/benchmark_VAE
- Python library for Variational Autoencoder Benchmarking
What are some alternatives?
When comparing Awesome-VAEs and benchmark_VAE you can also consider the following projects:
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data