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.
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Updated
May 22, 2024 - Python
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.
Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.
Facial Expression Classification Using Convolutional Neural Network And Residual Neural Networks.
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry
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
Robo-Chess, a comprehensive repository dedicated to developing chess engines using a variety of Deep Reinforcement Learning techniques
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
HResNet with Attention for HSI classification
Neural Networks for predicting diabetes from Fingerprints.
GAN based Super resolution media engine
By combining Transformer models for feature extraction with deep learning classifiers and optimizing them using a Genetic Algorithm, predicting the breed of cats and dogs.
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.
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds (IEEE SPCOM-2024)
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