benchmark_VAE VS PyTorch-VAE

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

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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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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benchmark_VAE PyTorch-VAE
4 5
1,691 6,035
- -
6.1 0.0
about 1 month ago 8 days ago
Python Python
Apache License 2.0 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.
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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.

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 benchmark_VAE and PyTorch-VAE you can also consider the following projects:

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

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

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

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

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

nflows - Normalizing flows in PyTorch

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

torch-metrics - Metrics for model evaluation in pytorch

benchmark_VAE vs Awesome-VAEs PyTorch-VAE vs Awesome-VAEs benchmark_VAE vs scvi-tools PyTorch-VAE vs Robo-Semantic-Segmentation benchmark_VAE vs fastero PyTorch-VAE vs 6DRepNet benchmark_VAE vs disentangling-vae PyTorch-VAE vs qubo-nn benchmark_VAE vs nflows PyTorch-VAE vs disentangling-vae benchmark_VAE vs cloud_benchmarker PyTorch-VAE vs torch-metrics