pymc-devs / pymc-devs/pymc-examples
VI bayesian neural network
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- Dominant language
- Python
- Stars
- 398
- Forks
- 325
- Avg merge
- 9d 15m
- Merged PRs (30d)
- 1
Description
File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/variational_inference/bayesian_neural_network_advi.ipynb
Reviewers:
The sections below may still be pending. If so, the issue is still available, it simply doesn't
have specific guidance yet. Please refer to this overview of updates
Known changes needed
Changes listed in this section should all be done at some point in order to get this
notebook to a "Best Practices" state. However, these are probably not enough!
Make sure to thoroughly review the notebook and search for other updates.
General updates
ArviZ related
Changes for discussion
Changes listed in this section are up for discussion, these are ideas on how to improve
the notebook but may not have a clear implementation, or fix some know issue only partially.
General updates
ArviZ related
Notes
Exotic dependencies
Computing requirements
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
Start with variational_inference/bayesian_neural_network_advi.ipynb and read the linked Notebook updates overview. Thoroughly review the notebook against current best-practice guidance, since the issue lists no concrete changes. Done means the notebook has been brought to a Best Practices state and any agreed discussion items are resolved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100