disentangling-vae VS benchmark_VAE

Compare disentangling-vae vs benchmark_VAE and see what are their differences.

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations (by YannDubs)
beta-vae factor-vae vae variational-autoencoder unsupervised-learning celeba dsprites beta-tcvae disentangled-representations chairs-dataset Mnist fashion-mnist representation-learning reproducible-research Deep Learning Pytorch disentanglement
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benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022) (by clementchadebec)
vae Benchmarking beta-vae Comparison normalizing-flows pixel-cnn Pytorch Reproducibility reproducible-research vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder
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disentangling-vae benchmark_VAE
1 4
766 1,687
- -
0.0 6.1
over 1 year ago 27 days ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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disentangling-vae

Posts with mentions or reviews of disentangling-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.

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.

What are some alternatives?

When comparing disentangling-vae and benchmark_VAE you can also consider the following projects:

Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data

classification - Classification of the MNIST dataset using various Deep Learning techniques

fastero - Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!

CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.

nflows - Normalizing flows in PyTorch

minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.

cloud_benchmarker - Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.

disentangling-vae vs Efficient-VDVAE benchmark_VAE vs Awesome-VAEs disentangling-vae vs PyTorch-VAE benchmark_VAE vs PyTorch-VAE disentangling-vae vs scvi-tools benchmark_VAE vs scvi-tools disentangling-vae vs classification benchmark_VAE vs fastero disentangling-vae vs CelebAMask-HQ benchmark_VAE vs nflows disentangling-vae vs minimal_VAE_on_Mario benchmark_VAE vs cloud_benchmarker