benchmark_VAE
disentangling-vae
benchmark_VAE | disentangling-vae | |
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4 | 1 | |
1,695 | 766 | |
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6.1 | 0.0 | |
about 1 month ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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benchmark_VAE
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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
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"
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data
fastero - Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!
classification - Classification of the MNIST dataset using various Deep Learning techniques
nflows - Normalizing flows in PyTorch
CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.
cloud_benchmarker - Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.
minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.