Sumanth Simha C (@sumanth-bmsce)
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  • Registered over 8 years ago
  • Most used languages
    Python
    83.3 %
    Java
    16.7 %
  • Location 🇮🇳 India
  • Country Total Rank 14,852
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    Python
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Top repositories

1

Unsupervised_Extreme_Learning_Machine

Unsupervised Extreme Learning Machine(ELM) is a non-iterative algorithm used for feature extraction. This method is applied on the IRIS Dataset for non-linear feature extraction and clustering using k-means, Self Organizing Maps(Kohonen Network) and EM Algorithm
Python
18
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2

Deep-Neural-Network-for-Clustering

Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
Python
12
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3

SupervisedELM

Implementation of Supervised Extreme Learning Machine for binary classification
Python
3
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4

Deep-Learning-Programs

All the Deep Learning Python Programs that I tried out using tflearn
Python
1
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5

Self-Organizing-Maps

A Self Organizing Maps (SOM) or Kohonen Network is a type of Artificial Neural Network that is trained using clustering of datasets. This repo implements SOM using MiniSOM library applied on Iris Dataset and outputs the confusion matrix and clustering accuracy
Python
1
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6

Assistive-Technology-Android-Application-for-Autism-Spectrum-Disorder-Therapy

We, as a team of 4, collectively developed an Assistive Technology android application for autism children of the ASHA Foundation, Bangalore to help them develop the necessary motor skills like finger movements and language understanding under the guidance of Jayashree Ramesh, Director, ASHA Foundation and Dr. Indiramma M, Professor, CSE, BMSCE. We also attended the World Autism Day 2017, at Bal Bhavan, Cubbon Park to spread awareness about autism.
Java
1
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7

Machine-Learning-Presentations

This repository contains all the presentations made while doing my project with Dr. Senthilnath J, PhD(IISc), currently a Research Fellow at NTU, Singapore in Machine Learning particularly Deep Learning which includes techniques like Self Organizing Maps (SOM), Unsupervised Extreme Learning Machine (US-ELM), Restricted Boltzmann Machine(RBM) and Deep Autoencoders
1
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