single-cell-transcriptomics-app VS scvi-tools

Compare single-cell-transcriptomics-app vs scvi-tools and see what are their differences.

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single-cell-transcriptomics-app scvi-tools
1 2
0 1,128
- 2.3%
3.1 9.4
7 months ago 8 days ago
R Python
MIT License 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.

single-cell-transcriptomics-app

Posts with mentions or reviews of single-cell-transcriptomics-app. We have used some of these posts to build our list of alternatives and similar projects.

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 single-cell-transcriptomics-app and scvi-tools you can also consider the following projects:

seurat - R toolkit for single cell genomics

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

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

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

sanbomics_scripts - scripts and notebooks from sanbomics

Roundtrip - Roundtrip: density estimation with deep generative neural networks