Glaucus

The newest version of the autoencoder can encode arbitrary length continuous data using a combination of LSTM and residual vector quantization. Signal features are sequentially encoded and subtracted from the original, allowing a variable amount of compression from `51.2x` to `819.2x`.

When encoding complex-valued signals of shape `(batch_size, length)`, the pre-trained model will produce tokens of shape `(batch_size, length // 256, 16)` where `16` represents 16 codebooks of decreasing importance. The model can reconstruct the input with any number of codebooks.


For detailed usage see [README.md](https://github.com/the-aerospace-corporation/glaucus/blob/main/README.md). Pre-trained weights are available as an attachment to this release.

Aerospace Open-Source-Software release OSS24-0004-Glaucus.

**Full Changelog**: https://github.com/the-aerospace-corporation/glaucus/compare/v1.2.0...v2.0.0

Check out the `README.md` for an example of how to instantiate the pre-trained variational autoencoder (VAE) using the attached weights.

* RFLoss now has optional `overlap` parameter for spectrogram calculation
* Glaucus can now be instantated as an RF Unet by using `blockgen` with new modes `unet-encoder` and `unet-decoder`.
* Add GitHub workflow
* Warnings eliminated
* Eliminate noise layer from basic AE; could be re-enabled for denoising autoencoder

Unlimited Public Release per Decipher OSS22-0005 approved 2022-08-30.

Added some code to help folks just learning how to use the autoencoder.

* add function to adapt quantized weights to non-quantized model
* move all configuration into pyproject.toml

**Full Changelog**: https://github.com/the-aerospace-corporation/glaucus/compare/v1.1.3...v1.1.4

Unlimited Public Release per Decipher OSS22-0005 approved 2022-08-30.

Model compatible with Sig53 dataset coincident with release containing model weights created using transfer learning from prior best model (`glaucus-1024-761-c49063fd.pth`).

Unlimited Public Release per Decipher OSS22-0005 approved 2022-08-30.

**Glaucus** release coinciding with IEEE Aerospace Conference 2023.

* code included
* models included

Unlimited Public Release per Decipher OSS22-0005 approved 2022-08-30.