WhatAShot/ExcelFormer
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
This helps data scientists and machine learning engineers who work with structured, spreadsheet-like data. It takes your tabular datasets and automatically produces highly accurate predictions, outperforming other popular methods. It's designed for anyone needing to make predictions from datasets that fit into rows and columns.
No commits in the last 6 months.
Use this if you need a high-performing predictive model for tabular data tasks, even without extensive hyper-parameter tuning.
Not ideal if your data is unstructured, like images, text, or audio, as this model specializes in structured, tabular formats.
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68
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Language
Python
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Last pushed
Jun 11, 2024
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