A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

EECE 5645 - Final Project

Personal website

Dungeon Adventure Game implementing MVC pattern for CS 5010 - Programming Design Paradigms - Fall 2021.

A PyTorch implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge.

Project 4 - Calibration and Augmented Reality, for CS-5330: Pattern Recognition and Computer Vision, Spring 2022.

This repository contains my scripts, demos, mini-project and ideas/prototypes I try in python, machine learning, deep learning and data science in general etc.

A collection of notebooks and projects done as a part of Udacity's Deep Reinforcement Learning Nanodegree using Pytorch.

Proposed solution and baseline for CheXpert dataset, implemented in PyTorch. CheXpert is a large dataset of chest X-rays and competition for automated chest x-ray interpretation by Stanford ML Group.

A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation".

Project 5 of Udacity's DLND: In this project, we construct a recurrent neural network for sentiment analysis and deploy the model using Amazon's SageMaker service.

A collection of notebooks and projects done as a part of Udacity's Deep Learning Nanodegree using Pytorch.

Project 4 of Udacity's DLND: In this project, we use generative adversarial networks to generate new images of faces.

Project 3 of Udacity's DLND: In this project, we learn how to generate your own 'Seinfeld' TV scripts using RNNs. The neural network generates a new, "fake" TV script.

Project 2 of Udacity's DLND: In this project, we learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the c…

Project 1 of Udacity's DLND: In this project, we build and train our own Neural Network from scratch to predict the number of bikeshare users on a given day.

Using Linear Regression and Stochastic Gradient Descent coded from scratch to predict the electrical energy output for a combined circle power plant.

A collection of notebooks and projects done as a part of Udacity's Pytorch Scholarship Challenge.

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

The simplest TensorFlow tutorial for classification of MNIST dataset using neural networks in TensorFlow.

Exploratory analysis of the Titanic data set in Python using NumPy & Pandas.

A (seminar) presentation on basics of Deep Learning made using TeX.