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mkumar73 May 29, 2024
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mkumar73 May 29, 2024
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9 changes: 5 additions & 4 deletions README.md
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<img src="./docs/images/logo/mamba_tabular.jpg" width="400"/>


[![Documentation Status](https://readthedocs.org/projects/mambular/badge/?version=latest)](https://mambular.readthedocs.io/en/latest/?badge=latest)
[![PyPI](https://img.shields.io/pypi/v/mambular)](https://pypi.org/project/mambular)
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[![docs build](https://readthedocs.org/projects/mambular/badge/?version=latest)](https://mambular.readthedocs.io/en/latest/?badge=latest)
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mambular.readthedocs.io/en/latest/)
[![open issues](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/basf/mamba-tabular/issues)


[📘Documentation](https://mambular.readthedocs.io/en/latest/index.html) |
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Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks. Designed with ease of use in mind, Mambular models adhere to scikit-learn's `BaseEstimator` interface, making them highly compatible with the familiar scikit-learn ecosystem. This means you can fit, predict, and transform using Mambular models just as you would with any traditional scikit-learn model, but with the added performance and flexibility of deep learning.


<!-- ![Logo](./docs/images/logo/mamba_tabular.jpg) -->

## Features

- **Comprehensive Model Suite**: Includes modules for regression (`MambularRegressor`), classification (`MambularClassifier`), and distributional regression (`MambularLSS`), catering to a wide range of tabular data tasks.
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