jyansir/t2g-former
(AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER
This project helps machine learning researchers evaluate a new method called T2G-Former against existing models for tabular data. It takes raw tabular datasets and model configurations as input, then outputs performance scores and configurations for various models. The primary users are researchers focused on developing and benchmarking advanced machine learning models for structured data.
No commits in the last 6 months.
Use this if you are a machine learning researcher who wants to reproduce or extend experiments on tabular data modeling, especially when comparing new graph-based methods with established deep learning or gradient boosting techniques.
Not ideal if you are a practitioner looking for a ready-to-use solution to apply to your business data without deep understanding of machine learning model development and benchmarking.
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41
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5
Language
Python
License
MIT
Category
Last pushed
Mar 02, 2024
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