GRAN VS scvi-tools

Compare GRAN vs scvi-tools and see what are their differences.

GRAN

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019 (by lrjconan)
neurips-2019 generative-model deep-generative-model graph-neural-networks graph-generation
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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GRAN scvi-tools
1 2
450 1,115
- 3.6%
0.0 9.4
9 months ago 8 days ago
C++ 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.

GRAN

Posts with mentions or reviews of GRAN. We have used some of these posts to build our list of alternatives and similar projects.
  • Software Engineering or AI or Data Science?
    1 project | /r/cscareerquestionsEU | 2 May 2022
    In your case, I would really avoid AI ML DS altogether unless you believe you have the theoretical prerequisites. The coding part in AI ML DS is not like your typical software. It is scientific code and you must understand what's going on in your program with respect to trainable parameters. Here is an example.

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 GRAN and scvi-tools you can also consider the following projects:

euler - A distributed graph deep learning framework.

seurat - R toolkit for single cell genomics

molecule-generation - Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

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

ProGraML - A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

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

Generalizing-Lottery-Tickets - This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

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

GRAN vs euler scvi-tools vs seurat GRAN vs molecule-generation scvi-tools vs disentangling-vae GRAN vs ProGraML scvi-tools vs benchmark_VAE GRAN vs Generalizing-Lottery-Tickets scvi-tools vs DALLE-mtf scvi-tools vs sanbomics_scripts scvi-tools vs Roundtrip