tensorflow / tensorflow/probability

Autoregressive model example/tutorial

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Dominant language
Jupyter Notebook
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Description

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the referenced arXiv paper and Tensor2Tensor's image_transformer.py to understand the intended autoregressive model example. Then compare the repository's existing examples or tutorials; done should mean that a documented, runnable example covering the requested model is added.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, tensorflow
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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