scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data (by scverse)
Roundtrip
Roundtrip: density estimation with deep generative neural networks (by kimmo1019)
scvi-tools | Roundtrip | |
---|---|---|
2 | 1 | |
1,128 | 61 | |
2.3% | - | |
9.4 | 4.9 | |
8 days ago | about 1 year ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT 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.
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.
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.
- Error with scvi
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python for bioinformatics
I use both but I prefere python, its much easier for huge datasets, and a lot of useful tools are only available on python: https://github.com/YosefLab/scvi-tools
Roundtrip
Posts with mentions or reviews of Roundtrip.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-17.
-
Conditional Density Estimation Models?
The two issues I am having are 1. that I don't know what is most recent or capable or advanced in this area of machine learning (HuggingFace doesn't have any), and 2. that the two models I have found - MONDE (Chilinski and Silva, 2020) and Roundtrip (Liu, et al., 2021) - are overk!ll for what I need. Are there any Bayesians out there who could point me to something practical that they have used in their jobs? And if conditional density estimators are not used in your industry, could you explain why that is the case?
What are some alternatives?
When comparing scvi-tools and Roundtrip you can also consider the following projects:
seurat - R toolkit for single cell genomics
Keras-GAN - Keras implementations of Generative Adversarial Networks.
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
sanbomics_scripts - scripts and notebooks from sanbomics