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Seshu Kumar Damarla


Last seen: 2 months ago Active since 2021

Followers: 0   Following: 0

I am a postdoctoral fellow in Chemical and Materials Engineering at University of Alberta. I work with machine learning and statistical learning algorithms to address problems such as soft sensor and valve stiction in process systems engineering.

Programming Languages:
MATLAB, Fortran
Spoken Languages:
English, Telugu
Professional Interests:
Modeling and Prediction, AI for Signals and Images, Oil, Gas & Petrochemical

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  • GitHub Submissions Level 3
  • Personal Best Downloads Level 2
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Submitted


Linear_Discriminant_Analysis_Classifier
Linear Discriminant Analysis for Multi-class Classificaiton

2 years ago | 1 download |

Submitted


Naive-Bayes-classification
Gaussian Naive Bayes for multi-class classification

2 years ago | 4 downloads |

Submitted


Gradient Descent with Momentum algorithm for Neural Networks
Training Algorithm for Neural Networks. Please note that the code is written in Python. It cannot run on Matlab.

2 years ago | 2 downloads |

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Adam Optimization Algorithm for Machine and Deep Learning
Adam is an optimization algorithm that can be used instead of the classical stochastic gradient descent procedure to update netw...

2 years ago | 4 downloads |

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Multilayer Perceptron Neural Network
MLP is trained with gradient descent algorithm.

2 years ago | 2 downloads |

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k-nearest neighbors algorithm for classification
KNN for classification

2 years ago | 4 downloads |

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General Regression Neural Network
General Regression Neural Network is a variant of radial basis function neural network and used for nonlinear function approxima...

2 years ago | 11 downloads |

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Wavelet Neural Network
This neural network can be used to build classification and regression models

2 years ago | 12 downloads |

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Radial Basis Function Neural Network
Regression model, Soft Sensor

3 years ago | 5 downloads |

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Extreme Learning Machine
This code is useful to develop regression models.

3 years ago | 7 downloads |

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