jrzaurin/pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
This project helps data scientists and machine learning engineers build more accurate predictive models by combining different types of data. It takes in structured tabular data (like spreadsheets), unstructured text (like product descriptions), and images (like product photos) to produce a single, powerful prediction. This is ideal for tasks requiring a holistic view, like predicting customer behavior or classifying complex items.
1,404 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to make predictions or classifications using datasets that include a mix of tabular information, text, and images.
Not ideal if your data consists only of one type, such as purely tabular data or only text, as simpler tools might suffice.
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1,404
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Language
Python
License
Apache-2.0
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Last pushed
Sep 27, 2025
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0
Dependencies
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