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🦓 Consistent EmBeddings of high-dimensional Recordings using Auxiliary variables | pip install cebra
Nov 20, 2022 • 6 tweets • 3 min read
Interested in representation learning? Want to understand your time-series data? Want a method that outperforms tSNE and UMAP in terms of finding consistent latent factors in time-series data? Got your attention? 🔥#cebraAI 1/n We’ve developed a new (patent pending) method called CEBRA for you. It’s a novel method for supervised contrastive learning with continuous and discrete labels that adapts the sampling process based on label information.
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