DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).

Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models

ResNet in tensorflow for CIFAR-100, CIFAR-10

Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.

Facial Expression Classification Using Convolutional Neural Network And Residual Neural Networks.

CNN implementation of article 'Segmentation of Drilled Holes in Texture Wooden Furniture Panels Using Deep Neural Network' by Rytis Augustauskas, Arūnas Lipnickas and Tadas Surgailis

Deep Neural Networks for music genre classification as a proxy for multiple analytical studies

Deep Spatio-Temporal Residual Networks for Mobile Location Data Prediction (instead of original Crowd Flow Prediction) - Modified ST-ResNet

Official implementation for "Detecting plant invasion in urban parks with aerial image time series and residual neural network" published in remote sensing journal

Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.

Neural Networks for predicting diabetes from Fingerprints.

GAN based Super resolution media engine

HResNet with Attention for HSI classification

In this project, we will build, train and test a Convolutional Neural Networks with Residual Blocks to predict facial key point coordinates from facial images.

Residual learning: A new paradigm to improve deep learning-based segmentation of the left ventricle in magnetic resonance imaging cardiac images

Detection of 15 Key Facial Points Using Residual Neural Networks.

Fraud detection via residual neural network. (+ DVC)

Code repository of my academic projects and case studies in Machine Learning during my Master's Degree program.