radi-cho/GatedTabTransformer
A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
This is a deep learning architecture for classifying tabular data, which means it helps you categorize information organized in rows and columns, like a spreadsheet. You input data with both categorical (e.g., product type) and continuous (e.g., price) features, and it outputs a prediction or classification for each row. This tool is for machine learning engineers or data scientists who build predictive models from structured datasets.
101 stars. No commits in the last 6 months.
Use this if you are building a classification model for tabular data and need a robust deep learning architecture that combines transformer and gated MLP components for potentially better performance.
Not ideal if you are a business user or practitioner without a background in deep learning, as this project requires programming knowledge to implement.
Stars
101
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 04, 2023
Commits (30d)
0
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