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                        [REVIEW]: Dynamax: A Python package for probabilistic state space modeling with JAX
Submitting author: @slinderman (Scott Linderman) Repository: https://github.com/probml/dynamax Branch with paper.md (empty if default branch): paper Version: v0.1.4 Editor: @osorensen Reviewers: @thomaspinder, @gdalle Archive: Pending
Status
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HTML: <a href="https://joss.theoj.org/papers/aaec4098e71833c94a74dbe1ff785d9e"><img src="https://joss.theoj.org/papers/aaec4098e71833c94a74dbe1ff785d9e/status.svg"></a>
Markdown: [](https://joss.theoj.org/papers/aaec4098e71833c94a74dbe1ff785d9e)
Reviewers and authors:
Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
Reviewer instructions & questions
@thomaspinder & @gdalle, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review. First of all you need to run this command in a separate comment to create the checklist:
@editorialbot generate my checklist
The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @osorensen know.
✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨