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pytorch-widedeep: A flexible package for multimodal deep learning

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 08 May 2023Publisher:Zenodo
Authors: Zaurin, Javier Rodriguez; Mulinka, Pavol;

doi: 10.5281/zenodo.8200456 , 10.5281/zenodo.10148436 , 10.5281/zenodo.11916215 , 10.5281/zenodo.13834387 , 10.5281/zenodo.10955913 , 10.5281/zenodo.10673758 , 10.5281/zenodo.17213538 , 10.5281/zenodo.14047029 , 10.5281/zenodo.8218786 , 10.5281/zenodo.11670937 , 10.5281/zenodo.7908172 , 10.5281/zenodo.13374583 , 10.5281/zenodo.7908171

pytorch-widedeep: A flexible package for multimodal deep learning

Abstract

Added example scripts and notebooks on how to use the library in the context of recommendation systems using this notebook as example. This is a response to issue #133 Used the opportunity to add the movielens 100k dataset to the library, so that now it can be imported from the datasets module Added a simple (not pre-trained) transformer model to to the text component Added citation file Fix a bug regarding the padding index not being 1 when using the fastai transforms

If you use this software, please cite our article in the Journal of Open Source Software.

Related Organizations
Keywords

Python, Pytorch, Deep Learning, Tabular, Multi-Modal

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