PyTorch-VAE VS Awesome-VAEs

Compare PyTorch-VAE vs Awesome-VAEs and see what are their differences.

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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Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. (by matthewvowels1)
vae variational-autoencoder awesome-list disentanglement disentangled-representations representation-learning Deep Learning generative-model unsupervised-learning variational-inference variational-auto-encoder variational-bayes
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PyTorch-VAE Awesome-VAEs
5 1
5,989 755
- -
0.0 0.0
7 months ago almost 3 years 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.

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.

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.
  • VAEs
    2 projects | /r/deeplearning | 29 Aug 2021
    List of VAE projects/works: https://github.com/matthewvowels1/Awesome-VAEs

What are some alternatives?

When comparing PyTorch-VAE and Awesome-VAEs you can also consider the following projects:

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

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.

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

awesome-self-supervised-speech-representation-learning - A comprehensive list of awesome self-supervised speech representation learning papers.

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

torch-metrics - Metrics for model evaluation in pytorch

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

PyTorch-VAE vs Robo-Semantic-Segmentation Awesome-VAEs vs awesome-datascience PyTorch-VAE vs 6DRepNet Awesome-VAEs vs benchmark_VAE PyTorch-VAE vs qubo-nn Awesome-VAEs vs awesome-self-supervised-speech-representation-learning PyTorch-VAE vs disentangling-vae Awesome-VAEs vs SimCLR PyTorch-VAE vs torch-metrics Awesome-VAEs vs disentangling-vae PyTorch-VAE vs benchmark_VAE Awesome-VAEs vs stanford-cs-229-machine-learning