Harsh's Projects
MIT App Inventor Public Open Source
π Coronavirus (COVID-19) dashboard to show the dynamics of Π‘oronavirus distribution per country
Course Repository for C++ STL Course
This is the materials for CS7053
A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student
TCD COURSEWORK 2020-2021
This website contains application of various trained Machine Learning models.
The code is just a practice of OpenCV module for Python . The code aims Gesture Detection and Object tracking.
Panel CV for designers (or engineers) :)
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.