v0.6.0a2

What's Changed

This release adds functionality to run inference on datasets that do not fully fit into memory (batched inference, #168 ) and adds support to train unified encoders across multiple sessions in a dataset (#251 ).

🚧 A preprint is pending "Unified CEBRA Encoders for Integrating Neural Recordings via Behavioral Alignment" by Célia Benquet (@CeliaBenquet ), Hossein Mirzaei (@hsirm) , Steffen Schneider (@stes), Mackenzie W. Mathis (@MMathisLab ).

💻 A DEMO Notebook is available at: https://cebra.ai/docs/demos.html

• Fix quantized_embedding_norm undefined when normalize=False by @CeliaBenquet in #249
• Batched inference CEBRA & padding at the Solver level by @CeliaBenquet in #168
• Add unified CEBRA encoder: pytorch implementation by @CeliaBenquet in #251
• Release 0.6.0a2 by @stes in #256

Full Changelog: v0.6.0a1...v0.6.0a2