precision-recall-distributions
disentangling-vae
| precision-recall-distributions | disentangling-vae | |
|---|---|---|
| 1 | 1 | |
| 95 | 766 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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precision-recall-distributions
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[R] What are some up-to-date references to the evaluation of model fit across various types of generative models (GANs, flows, VAEs, diffusion, etc.)?
Code for https://arxiv.org/abs/1806.00035 found: https://github.com/msmsajjadi/precision-recall-distributions
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?
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
the-gan-zoo - A list of all named GANs!
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
generative-evaluation-prdc - Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data
vae-anomaly-detector - Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
classification - Classification of the MNIST dataset using various Deep Learning techniques
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
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.
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.