disentangling-vae VS PyTorch-VAE

Compare disentangling-vae vs PyTorch-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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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch. (by AntixK)
Pytorch pytorch-implementation vae vae-implementation Deep Learning reproducible-research paper-implementations pytorch-vae variational-autoencoders Architecture beta-vae vqvae gumbel-softmax celeba-dataset iwae wae dfc-vae
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disentangling-vae PyTorch-VAE
1 5
766 6,013
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0.0 0.0
over 1 year ago 7 months 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.

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.

What are some alternatives?

When comparing disentangling-vae and PyTorch-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.

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

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

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

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices

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

torch-metrics - Metrics for model evaluation in pytorch

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

disentangling-vae vs Efficient-VDVAE PyTorch-VAE vs Awesome-VAEs disentangling-vae vs scvi-tools PyTorch-VAE vs Robo-Semantic-Segmentation disentangling-vae vs classification PyTorch-VAE vs 6DRepNet disentangling-vae vs benchmark_VAE PyTorch-VAE vs qubo-nn disentangling-vae vs CelebAMask-HQ PyTorch-VAE vs torch-metrics disentangling-vae vs minimal_VAE_on_Mario PyTorch-VAE vs benchmark_VAE