somaonishi/MTR
The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"
This project helps machine learning researchers and practitioners who work with tabular data. It provides methods to improve the performance of deep learning models on datasets like income prediction by generating augmented versions of the input data. You provide your tabular dataset, and the project outputs trained models with enhanced accuracy.
No commits in the last 6 months.
Use this if you are a machine learning researcher or data scientist looking to improve the robustness and performance of deep learning models on tabular datasets through advanced data augmentation techniques.
Not ideal if you are a business user or analyst seeking a low-code solution for predictive modeling, as this tool requires familiarity with deep learning frameworks and experimental setup.
Stars
14
Forks
3
Language
Python
License
MIT
Category
Last pushed
Oct 08, 2023
Commits (30d)
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