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Hi,
I have noticed that the predictions with the sts package are sometimes inconsistent over multiple runs, especially when the model is fit with a variational inference surrogate. Running the same …
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Using `Exponential(x)` distribution should be equivalent to using `Gamma(1,x)`, yet I'm getting different results when I use one or the other as the approximation of the posterior in `KLqp`. For exam…
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NLG, the other end of NLP, is important in many fields where AI is being applied. Please include the latest NLG research as well as imo it would be very helpful.
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### Description
The goal is to develop a Tibetan text-to-speech (TTS) model that can convert Tibetan text into Tibetan speech. This project involves training a TTS model using filtered good audio qual…
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beta-VAE is also very good ref : http://openreview.net/forum?id=Sy2fzU9gl
Learning an interpretable factorised representation of the independent data gen- erative factors of the world without super…
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This is intended as a discussion issue where we can hash out an initial design for the package. The goal is to
1. tie down the structure of the package, including how the internals should be design…
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# 📚 Documentation/Examples
Hi,
I've been trying to use variational GP (varGP) and sparse GP (spGP) for a data set that is semi-large, approx 20,000 points training.
I've been having some problems…
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@dustinvtran Hi Dustin,
How hard do you think it is to implement the following models in Edwards using the Tensorflow backend?
- Hierarchical variational models
- [Variational Recurrent Neural…
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When I run the notebook with this version of Jupyter:
```
Python 3.6.7 | packaged by conda-forge | (default, Jul 2 2019, 02:07:37)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]
`…
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Earlier today, Google announced TensorFlow Probability: a probabilistic programming toolbox for machine learning. The full text of the announcement is available on [Medium](https://medium.com/tensorfl…