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README.md

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*SubModLib* is an easy-to-use, efficient and scalable Python library for submodular optimization with a C++ optimization engine. *Submodlib* finds its application in summarization, data subset selection, hyper parameter tuning, efficient training etc. Through a rich API, it offers a great deal of flexibility in the way it can be used.
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Please check out our latest arxiv preprint: https://arxiv.org/abs/2202.10680
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# Salient Features
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* **Rich suite of functions** for a wide variety of subset selection tasks:
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# Contributors
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* Vishal Kaushal
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* Vishal Kaushal, Ganesh Ramakrishnan and Rishabh Iyer. Currently maintained by CARAML Lab
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# Contact
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Should you face any issues or have any feedback or suggestions, please feel free to contact vishal[dot]kaushal[at]gmail.com
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# Acknowledgements
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This work is supported by the Ekal Fellowship (www.ekal.org).
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This work is supported by the Ekal Fellowship (www.ekal.org). This work is also supported by the National Science Foundation(NSF) under Grant Number 2106937, a startup grant from UT Dallas, as well as Google and Adobe awards.

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