Vikram Shenoy's Projects
Python implementations of the Boruta all-relevant feature selection method.
Group 35 - This branch adds a text chat feature
Deep Neural Network coded using Python's Numpy library.
Generated digits (Similar to the ones in the MNIST dataset) using Wasserstein GANs.
Families In the WIld: A Kinship Recogntion Toolbox.
Semantic Segmentation of Histology Images using UNet Architecture
A dataset that distinguishes humans from the background.
Digit Classifier using Keras
CS 6140 Machine Learning Project on creating a Multi-Layer Capsule Network for better Facial Recognition.
Recommending Music using a Convolutional Neural Network.
An algorithm to transform the background of an Image to a user specified style.
Neural Style Transfer using Keras and TensorFlow
Step by step explanation of Principal Component Analysis in python
Single Hidden Layer Neural Network using Python's Numpy library
Twitter Sentiment Analysis using Keras.
Constructed and trained a capsule network to predict digits from the MNIST dataset.
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