Deepak Guru's Projects
This jupyter notebook is a part of my assignment where I leverage the knowledge of Natural language processing, and perform entity recognition on scientific articles. This project uses Glove Embeddings for embedding the text corpus, and it also compares the accuracy of the entity recognition with domain specific embeddings. Different dropout parameters are tested, and corresponding F1 scores are evaluated and finally the LSTM model is trained with the best optimal dropout parameter.
Config files for my GitHub profile.
This is a repository for the simulation of spreading of disease in an environment with external factors as consideration
Flower: A Friendly Federated Learning Framework
This repository contains some of my codes done for challenges in HackerRank.
In this python code, an invisibity cloak which is created which is similar to the one shown in harry potter movie. Based on the color you like, you can either use blue, green, or any other color that can be used as a cloak and you can hide inside that cloak. The code uses color detection, image processing techniques and bitwise array operations using OpenCV Library and performs the following invisibility technique. I have also attached the trackbar code which can be used to find out the required HSV color.
Action Recognition on the KTH Dataset
This repository contains the Live scripts where Python is used in MATLAB, Jupyter Notebook where MATLAB is used from Python, and also some Cheat Sheets to convert the softwares and use them freely.
This is a python notebook to compute the Neural Networks from the scratch, make logistic regressions and classify the digits from MNIST data
This python Notebook does the Pokemon detection in different locations by training them with different attributes on the latitudes and longitudes. More info on the notebook
A simple example of creating and consuming a distributable Python package.
This repository provides the simulation of forest fires and compute the density of the forest. Compare the rank-frequency plot of the distributions of two types of forests. The
This Repository contains the resources of the Simulink Onramp Event and various other Information regarding the events happened in the event.
In this repository, you will get access for the presentation, and also the codes for using MATLAB and simulink with Raspbery Pi. The repository contains steps for deploying pre-trained image classification model ResNet50 inside the Raspberry Pi, as well as Simulink models for Pitch shifters, image inversion and many more.