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It might be a stupid idea, didn't think it through from code perspective, but couldn't Ngboost predict the Normalizing Flows' parameters as well, so the final outcome distribution could be transformed…
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this is easy in Edward: take any model already in Edward. define the variational family using [`TransformedDistribution`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/distri…
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Hi,
I wanted to ask if you would consider adding some of your literature to the [awesome-notmalizing-flows](https://github.com/janosh/awesome-normalizing-flows) repo? It is getting quite extensive…
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I am interested in using the Pyro implementation of normalizing flows for my research. However, I cannot find anywhere in the docs instructions on how to enable GPU support. The [example page](https:/…
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@yarinbar. Hi, I saw you published a question '[Negative -log likelihood loss when training Normalizing Flow](https://stackoverflow.com/questions/76935527/negative-log-likelkhood-loss-when-training-no…
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## 🚀 Feature
**Original Paper**
https://arxiv.org/abs/1905.13177
**Original Paper TensorFlow Repo**
https://github.com/jliu/graph-normalizing-flows
**Motivation**
A very interesting paper …
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Question:- Hello! Thank you for the wonderful work.
I am new to pytorch-forecasting. I had a question regarding the use of Normalizing Flows with pytorch-forecasting. Is it possible to implement the …
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## 🐛 Bug
The existing normalizing flows tutorial uses outdated SELFIES methods to convert from strings to one-hot embeddings and back. I've been working on a fix to move to the newer methods (which…