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Probabilistic reasoning and statistical analysis in TensorFlow

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Hi, I'm trying to sample from a Wishart distribution using `tfp.substrates.jax` and run into nans. I'm not sure why. Here's code to reproduce the error: ``` import jax.numpy as jnp...

I have a TensorFlow probability model which I want to deploy on mobile devices. How can I do that?

Remove `Variational Autoencoder` example which was based on Tensorflow Estimator and it is being deprecated for new usage.

Hello, I am replicating the pymc3 example [Bayesian Estimation Supersedes the T-Test](https://docs.pymc.io/en/v3/pymc-examples/examples/case_studies/BEST.html). I am using tensorflow==2.10.1 and tensorflow-probability==0.17.0. As a TFP example, I am following the tutorial [Gaussian Process Regression](https://www.tensorflow.org/probability/examples/Gaussian_Process_Regression_In_TFP)....

Hi, thank you for providing a great product. I'm trying to build a model with `tfp.sts` package but I'm facing issues around the `name` argument. ## `TypeError: tensorflow_probability.python.sts.components.autoregressive.AutoregressiveStateSpaceModel() got multiple...

Hello everybody, following the [CONTRIBUTING](https://github.com/tensorflow/probability/blob/main/CONTRIBUTING.md) guidelines I first open this issue for the opportunity to discuss my proposed contribution. To familiarize myself with TensorFlow Probability and Probabilistic Modelling in general...

Besides creating a `wheel` package, we enable the creation of a `sdist` package alongside it. This change only modifies the shell script used to automate the execution of `setup.py`, and...

I tried to convert [pointnet model](https://keras.io/examples/vision/pointnet/)(https://keras.io/examples/vision/pointnet/) to tensorflow probability model, but the results of the training were less than ideal. Can anyone help on this?

Hi, I am having troubles understanding why I am getting nan when stacking a bunch of conditional MAFs but I am not getting a nan with a single conditional MAF....

There are two exclusive parameters in tfp.math.psd_kernels.RationalQuadratic. The first is `length_scale`, and the second is `inverse_length_scale`. But both are marked as preferred -- it is the default value in the...