Suggesting example notebooks on LDA with tfp

Hello everybody,

following the CONTRIBUTING 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 I have set up some approaches on Latent Dirichlet Allocation (LDA) using 3 different approaches. I suggest adding two of the notebooks from my repo to the examples section. If this would be a valid contribution, I would shorten them, edit them to fit the style-guide, and any consider any other suggestions. The two (preliminary versions of the) notebooks are:

• LDA with Hamiltonian Markov-Chain-Monte-Carlo
• LDA with Variational Inference

I am grateful for any feedback!

If this is of interest to someone: my repo also contains a custom Gibbs Sampler (defined in source file used in notebook) that fits LDA also for larger datasets by batch processing etc; but it is not very polished, this is just a fun/side project for me.

Review the two proposed notebooks, tfp_monte_carlo.ipynb and tfp_variational_inference.ipynb, in the linked topicflow repository, then compare them with tensorflow_probability/examples/jupyter_notebooks and CONTRIBUTING.md. Confirm whether the examples fit the repository’s style and scope; done means the selected notebooks are shortened, edited to match the style guide, and accepted for the examples section.