Code release for the paper Tractable Representation Learning with Probabilistic Circuits. The project implements autoencoding probabilistic circuits (APCs): a tractable PC encoder paired with a neural ...
Abstract: A brain-computer interface (BCI) that decodes speech directly from neural activity provides a rapid and natural means of communication for individuals with speech impairments or aphasia.
The source code is build on Python 3.10 and the models are implemented using Pytorch 1.13.1 with cuda 11.7. Run pip install -r requirements.txt --extra-index-url ...
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