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A neural network framework for researchers studying acoustic communication

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Currently `vak.predict.frame_classification` saves an output csv where we infer the annotated audio file from the name of the "frames path", the array file that contains the input frames to the...

ENH: enhancement

- [x] rename as per https://github.com/vocalpy/CMACBench/issues/3 - [x] refactor into subpackage with modules `transforms`, `helper`, `cmacbench` so we don't have a single 750 line module - [ ] ~~add classmethod...

CLN: clean / refactor

Hi, I'm wondering how I might be able to run predict on songs that are in different folders (SAP folders), since I need to run this on multiple days. Thanks!

ENH: enhancement

related to #772 -- we don't seed the RNG when we generate splits; adding this would help with reproducibility for people using vak, and also for other projects that make...

ENH: enhancement

- [ ] change main index to have grid of boxes like VocalPy + AstroPy, et al. - [ ] add a box to the grid for "Project Details" like...

DOC: documentation

Fixes #783 (replaces #736)

Currently, if the total duration specified by 'train_dur', 'val_dur', and 'test_dur' is shorter than the combined duration of all wav-based spectrogram files, any excess files generated during the prep stage...

ENH: enhancement

Using `joblib` to `dump` a fit `FramesStandardizer` leads to backwards-compatibility issues, e.g., because of a name change, as in #810 We should add `read` and `write` methods that just `np.savez`...

ENH: enhancement

See https://github.com/chendaniely/quarto_website_template/blob/main/.github%2Fworkflows%2Fcheck_links.yml https://github.com/lycheeverse/lychee-action

DEV: development
CI: continuous integration