zuko
Normalizing flows in PyTorch (by probabilists)
Roundtrip
Roundtrip: density estimation with deep generative neural networks (by kimmo1019)
| zuko | Roundtrip | |
|---|---|---|
| 1 | 1 | |
| 253 | 61 | |
| 5.1% | - | |
| 7.8 | 4.9 | |
| about 1 month ago | about 1 year ago | |
| Python | Python | |
| MIT 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.
zuko
Posts with mentions or reviews of zuko.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-07.
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[P] Zuko, a fresh approach to normalizing flows in PyTorch
Zuko already has a few users, including my research lab, but I would love to see it grow further and make it a true community project. If you are interested in normalizing flows, you can take a look at the repository francois-rozet/zuko or the documentation. Cheers!
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.
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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 zuko and Roundtrip you can also consider the following projects:
nflows - Normalizing flows in PyTorch
Keras-GAN - Keras implementations of Generative Adversarial Networks.
flowtorch - This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data
FrEIA - Framework for Easily Invertible Architectures
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down: