CEBRA
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
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CEBRA is a library for estimating Consistent EmBeddings of high-dimensional Recordings using Auxiliary variables. It contains self-supervised learning algorithms implemented in PyTorch, and has support for a variety of different datasets common in biology and neuroscience.
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M-Lab of Adaptive Intelligence @ EPFL
Mechanisms underlying adaptive behavior in intelligent systems | led by Mackenzie Mathis (@MMathisLab)
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