David Nicholson
David Nicholson
will need to turn them into multiple batches, probably within predict function? or maybe the data loader can take care of this using a clever `collate_fn`
using example notebook that got removed from `tweetynet` repo
as suggested by @choldgraf (who is asleep, in France) https://twitter.com/choldgraf/status/1520470381349462016 > it would be great to see language about the governance strategy of the project (eg a goal of no...
Hi @monocongo just raised that issue related to the pyOpenSci review as discussed here: https://github.com/pyOpenSci/software-submission/issues/111#issuecomment-1591996074 Before we can start the review we'll need - [ ] API docs, e.g. generated...
Some OSS communities I'm part of use [all-contributors](https://github.com/all-contributors/all-contributors) to recognize contributions, esp those that are not necessarily code -- like website content :slightly_smiling_face: What do we think about doing that?...
I started this here: https://github.com/vocalpy/vak/tree/add-segmentation-metrics using the segmentation metrics built into VocalPy But if we're going to use torchmetrics, really we should - [ ] re-implement all the functions using...
I added an initial Parametric UMAP model family + one example model in https://github.com/vocalpy/vak/pull/688, fixing #631. I went ahead and merged that in so we could work on other things--there...
https://autoencoded-vocal-analysis.readthedocs.io/en/latest/index.html https://elifesciences.org/articles/67855 https://github.com/pearsonlab/autoencoded-vocal-analysis/tree/master - [ ] Add VAE models - [ ] Add datasets from paper
- [ ] Add prep step for object detection datasets - [ ] Add objection detection model family - [ ] Add [Deepsqueak](https://github.com/DrCoffey/DeepSqueak) model - [ ] Add Faster-RCNN that...
- [x] Add DAS network architecture, converted to pytorch. From https://github.com/janclemenslab/das/blob/master/src/das/models.py - [x] Will require implementing the DAS-specific vendored version of TCN: - [x] As well as the vendored version...