tensorflow / tensorflow/probability
FeatureRequest: Conditional masked autoregressive flows
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Description
I'm trying to replicate the MNIST experiments used in the paper of Masked Autoregressive Flows. I would like to have the code that implements Conditional Masked Autoregressive Flow in the library tensorflow-probablilities.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Start by locating the existing masked autoregressive flow implementation and reviewing the paper's conditional variant. Done would require an agreed API, implementation scope, and validation of the MNIST experiments.
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Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100