An ongoing research project of mines.

Experimenting on CIFAR10 dataset, including image transformations, testing different network architectures, ResNet50 v/s ResNeXt50, tuning hyperparameters during training to get different results, etc.

Deep Learning Basic Module built with Pytorch

POSTER_V2 with the additional benefit of detecting faces from the webcam and detecting the emotion in the frame

ViT implementation in PyTorch

High dimensional indexing of image data using rtree, implemented to find similar images in the indexed dataset

Automation of model training and ensemble creation for making predictions in a Kaggle competition submission.

Machine Learning project deployed in AWS that classifies dog breeds using a Base Model ResNet50 from torchvision library

Final project for the course: Python for (open) Neuroscience, taught by Luigi Petrucco at CIMeC's PhD school (University of Trento).

Effortless and Automated Image Classification with Comprehensive Comet ML Integration

A cheatsheet resource that covers the deep learning libraries.

In this project I used a ResNet-18 model and train it on a COVID-19 Radiography dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized in three classes - Normal, Viral Pneumonia, and COVID-19. Our objective in this project is to create an image classification model that can predict Chest X-Ray scans that belong to one of t…

Made - Computer Vision - Thousand Facial Landmarks competition

Classify types of space rocks in random photos by using Pytorch

A Research Project Using Generative models like Variational Autoencoder (VAE), T2-Weighted Images are being generated from T1-Weighted Images. Have achieved a maximum of 0.15 RMSE on validation dataset.

Classification of the CIFAR10 dataset using CNNs

Augmenting data and generating adversarial examples to compare against trained model.

Welcome to the Software Academy Computer Science and Competitive Programming Club! We are a passionate and dynamic group of students dedicated to exploring the exciting world of computer science and honing our problem-solving skills through competitive programming. Our club provides a platform for students of all skill levels to come together.

A neural network architecture that automatically generate captions from images.

This lab is provided by IBM and Cognivite Class. In this notebook, I have learned the basics of tensor operations and ccompare tensors with vectors and numpy arrays.