v1.2.0 Variational Autoencoder

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.