Sourya Dey | DeepAI

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∙ 11/15/2022

DLKoopman: A deep learning software package for Koopman theory

We present DLKoopman – a software package for Koopman theory that uses d...

0 Sourya Dey, et al. ∙

∙ 01/26/2022

LAGOON: An Analysis Tool for Open Source Communities

This paper presents LAGOON – an open source platform for understanding t...

0 Sourya Dey, et al. ∙

∙ 03/27/2020

Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning

We present Deep-n-Cheap – an open-source AutoML framework to search for ...

0 Sourya Dey, et al. ∙

∙ 12/04/2018

Pre-Defined Sparse Neural Networks with Hardware Acceleration

Neural networks have proven to be extremely powerful tools for modern ar...

0 Sourya Dey, et al. ∙

∙ 07/11/2018

Morse Code Datasets for Machine Learning

We present an algorithm to generate synthetic datasets of tunable diffic...

0 Sourya Dey, et al. ∙

∙ 05/31/2018

A Highly Parallel FPGA Implementation of Sparse Neural Network Training

We demonstrate an FPGA implementation of a parallel and reconfigurable a...

0 Sourya Dey, et al. ∙

∙ 11/06/2017

Characterizing Sparse Connectivity Patterns in Neural Networks

We propose a novel way of reducing the number of parameters in the stora...

0 Sourya Dey, et al. ∙

∙ 11/03/2017

Accelerating Training of Deep Neural Networks via Sparse Edge Processing

We propose a reconfigurable hardware architecture for deep neural networ...

0 Sourya Dey, et al. ∙

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