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Probabilistic reasoning and statistical analysis in TensorFlow

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The current behaviour for `tensorflow_probability.bijectors.Bijector` is to cache the input to be used if the inverse function is called. I would very much like a keyword being able to turn...

Hi, I'm following the logistic regression example ([https://github.com/tensorflow/probability/blob/master/tensorflow_probability/examples/logistic_regression.py](logistic_regression.py)) and trying to implement it with some real life data that has a mixture of numerical and categorical variables. Each of my...

good first issue

See also http://edwardlib.org/tutorials/unsupervised.

good first issue

The current tutorials cover a majority of MCMC. Could we get one for variational inference? The edward tutorial on Supervised Learning shows how to run inference using Kullback-Leibler divergence. It...

good first issue

I want to build a flow model which I can save the trained model. ``` flow = tfd.TransformedDistribution( ... distribution=tfd.Normal(loc=0.0, scale=1.0), bijector=my_bijectors ) for e in epochs: ... with tf.GradientTape()...

Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04 TensorFlow installed from...

Hi, I'm working on a master's thesis where we want to sample the exact posterior of a bayesian neural network using HMC and the No-U-Turn sampler in regression tasks. The...

Info:` tf-nightly-gpu` and `tfp-nightly` , code tested on single tesla v100, ubuntu, cuda11.0, cudnn8 RAM grows linearly when training a `tfb.Glow` based `tfd.TransformedDistribution`. It takes 16G when it starts training...

Hi, I am getting NaNs when I sample images after training the glow bijector. Is there some compatibility issue between tf and tfp, or am I doing something wrong? ```...

Please see MWE below. The code gives a NotImplementedError after `outputs = tfpl.IndependentNormal(event_shape = encoded_shape) (layer3)`. The model, however, is constructed correctly. This issue was originally raised in the corresponding...