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THINGSvision: a Python toolbox for streamlining the extraction of activations from deep neural networks

View ORCID ProfileLukas Muttenthaler, Martin N. Hebart
doi: https://doi.org/10.1101/2021.03.11.434979
Lukas Muttenthaler
Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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  • For correspondence: muttenthaler@cbs.mpg.de hebart@cbs.mpg.de
Martin N. Hebart
Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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  • For correspondence: muttenthaler@cbs.mpg.de hebart@cbs.mpg.de
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Posted March 13, 2021.
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THINGSvision: a Python toolbox for streamlining the extraction of activations from deep neural networks
Lukas Muttenthaler, Martin N. Hebart
bioRxiv 2021.03.11.434979; doi: https://doi.org/10.1101/2021.03.11.434979
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THINGSvision: a Python toolbox for streamlining the extraction of activations from deep neural networks
Lukas Muttenthaler, Martin N. Hebart
bioRxiv 2021.03.11.434979; doi: https://doi.org/10.1101/2021.03.11.434979

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