The repository contains several examples where tensorflow probability is utilized:
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Variational inference in probabilistic models: an analytically solvable example: blog
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Bayesian inference for stochastic processes: an analytically solvable problem blog | colab-notebook
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Simplify likelihood when regressing against categorical variables: blog | colab-notebook
To test the examples execute:
export TF_CPP_MIN_LOG_LEVEL=2
PYTHONPATH=$(pwd) python src/main.py example-linear-regression
PYTHONPATH=$(pwd) python src/main.py example-stochastic-process
PYTHONPATH=$(pwd) python src/main.py example-categorical-features