benchmark_VAE VS scvi-tools

Compare benchmark_VAE vs scvi-tools 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
Source Code
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scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data (by scverse)
scrna-seq variational-bayes variational-autoencoder cite-seq single-cell-genomics single-cell-rna-seq deep-generative-model human-cell-atlas scverse Deep Learning
Source Code
scvi-tools.org
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benchmark_VAE scvi-tools
4 2
1,691 1,135
- 2.9%
6.1 9.4
about 1 month ago 3 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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.

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.

scvi-tools

Posts with mentions or reviews of scvi-tools. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-03.

What are some alternatives?

When comparing benchmark_VAE and scvi-tools you can also consider the following projects:

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

seurat - R toolkit for single cell genomics

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

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

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

DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.

sanbomics_scripts - scripts and notebooks from sanbomics

nflows - Normalizing flows in PyTorch

Roundtrip - Roundtrip: density estimation with deep generative neural networks

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

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

benchmark_VAE vs Awesome-VAEs scvi-tools vs seurat benchmark_VAE vs PyTorch-VAE scvi-tools vs disentangling-vae benchmark_VAE vs fastero scvi-tools vs DALLE-mtf benchmark_VAE vs disentangling-vae scvi-tools vs sanbomics_scripts benchmark_VAE vs nflows scvi-tools vs Roundtrip benchmark_VAE vs cloud_benchmarker benchmark_VAE vs minimal_VAE_on_Mario