Published January 19, 2022 | Version 1.0.0
Dataset Open

Model Checkpoints for AE Studio's AESMTE3 Submission to NLB 2021 Challenge

Authors/Creators

  • 1. AE Studio

Description

This dataset contains all model checkpoints acquired while training AE Studio's AESMTE3 submission for the NLB 2021 Challenge. The models are neural-data-transformers and were trained using AE's fork of the neural-data-transformers repo.

These model checkpoints are intended to be used by the NLB organizers in order to validate AE's submission.

Files

ae-nlb-2021-model-checkpoints.zip

Files (9.2 GB)

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md5:b84e17df859fb27c4649d5612ae01e1b
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Additional details

References

  • Pei, Felix, et al., "Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity," 2021, arXiv:2109.04463v4 [cs.LG]