Elefant (Efficient Learning, Large-Scale Inference, and Optimisation Toolkit) is an open source library for machine learning. It includes modules for many common optimisation problems arising in machine learning and inference, and is designed to be modular and easy to use. The framework provides an easy to use Python interface for quick prototyping and testing inference algorithms.
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Elefant Developers
Dr Christfried Webers
Kishor Gawande
Contributors
Dr Alex Smola
Choon Hui Teo
James Petterson
Javen Quinfeng Shi
Jin Yu
Julian McAuley
Le Song
Quoc Le
Dr Simon Guenther
Dr S V N Vishwanathan
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