Sudharshan Shanmugasundaram's repositories
Music-Generation
Implementation of Music Generation in PyTorch
Movie-Recommendation-System-using-AutoEncoders
Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset
Neural-Image-Caption-Generation
Implementation of Neural Image Caption Generation using Flicker dataset.It generates a descriptive sentence of the uploaded image
Cryptocurrency-Icecubes
Implementation of my very own cryptocurrency Icecubes
Neural-Machine-Translation
Implementation of Neural Machine Translation system using Encoder-Decoder Architecture that translates the input German phrases to English
Neural-Style-Transfer
Neural Style Transfer implementation in PyTorch.It generates image in the style of another image
Smart-Contract-Icecubes-ICO
Implementation of a Smart Contract for the Initial Coin Offering (ICO) of my cryptocurrency Icecubes
Vanilla-GAN
Vanilla GAN implementation on MNIST dataset using PyTorch
Deep-Reinforcement-Learning-DQN-Smart-Flappy-Bird
Implementation of Smart Flappy Bird where the bird learns to fly on its own using Reinforcement Learning in PyTorch
Blockchain
Implementation of a general purpose Blockchain
Generation-of-Poems-After-Training-on-Shakespeare-Sonnets
Generating poems like Shakespeare poems after training on various Shakespeare Sonnets using LSTM model
News-App-Node-js
Web Application for latest news feed from top companies
Orion-Inc
Java based Web Application for Higher Studies
Predicting-Google-Stock-Prices
Using Recurrent Neural Networks (LSTM) to predict Google Stock Prices
Sentiment-Analysis-on-IMDB-Dataset
Implementation of Sentiment Analysis on IMDB dataset where we classify a movie review as either positive or negative
SudharshanShanmugasundaram.github.io
My website
UnorthodoxInc
Team Unorthodox Inc - EngiNx 2019 - Mental Health Detection by means of Thermal Imaging.
Web-Scraping-Amrita-University-Question-Papers
It uses web scraping to view or download Amrita University Question Papers.It will really come in handy during exam times.