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Simulation-based inference toolkit
there is some code repetition in these tests https://github.com/sbi-dev/sbi/blob/bb35def3341a0896a66b7038d9c02931f6797113/tests/metrics_test.py#L133-L172 which can be reduced by using `@pytest.mark.parametrize` (see other tests for examples.).
When building the most recent `docs` I noticed several problems: Upon running `jupyter nbconvert --to markdown ../examples/*.ipynb --output-dir docs/examples/ && jupyter nbconvert --to markdown ../tutorials/*.ipynb --output-dir docs/tutorial/` as described in...
**Is your feature request related to a problem? Please describe.** The `MixedDensityEstimator` currently takes a 1D discrete net and a continuous net and combines them autoregressively. To generalize this to...
## What does this implement/fix? Explain your changes In order to ease the usability of the toolkit, a Docker image is provided to the user. It allows to: - It...
Different python versions have different (typing) conventions which will raise pyright issues depending on the Python version people have installed. Our suggestion would be to test against old Python versions...
**Notebook checklist:** - [ ] One sentence description - At README - At top of notebook - [ ] Make note about SNPE single round = NPE only in Examples...
**Notebook checklist:** - [ ] One sentence description - At README - At top of notebook - [ ] Make note about SNPE single round = NPE only in Examples...
**Notebook checklist:** - [ ] One sentence description - At README - At top of notebook - [ ] Make note about SNPE single round = NPE only in Examples...
**Notebook checklist:** - [ ] One sentence description - At README - At top of notebook - [ ] Make note about SNPE single round = NPE only in Examples...
**Is your feature request related to a problem? Please describe.** [BatchNorm eliminates the iid assumption](https://en.wikipedia.org/wiki/Batch_normalization#Theory). That assumption is at the core of all objective functions we use in this library....