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## Edge Machine Learning ## Edge Machine Learning
This library provides code for machine learning algorithms for edge devices developed by Microsoft Research India Lab. These algorithms train extremely small models for binary, multiclass and multilabel classification tasks. These models can be used on edge and IoT devices with little or no connectivity.
Currently, this repository implements [Bonsai](publications/Bonsai.pdf) and [ProtoNN](publication/ProtoNN.pdf) algorithms published in ICML'17. And there's more to come :)
*Contributors*: The first version of the code was written by Chirag Gupta, Aditya Kusupati, Ashish Kumar, and [Harsha Vardhan Simhadri](github.com/harsha-simhadri).
We welcome contributions, comments and criticism. For questions, please send an [email](mailto:harshasi@microsoft.com).
### Requirements ### Requirements
- Linux. We developed the code on Ubuntu 16.04LTS. - Linux. We developed the code on Ubuntu 16.04LTS.
The code can also compiled in Windows with Visual Studio 2015, but this release does not include makefile. The code can also compiled in Windows with Visual Studio 2015, but this release does not include makefile.