NourO93's starred repositories
super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
3D-GAN-superresolution
3D super-resolution using Generative Adversarial Networks
deep_complex_networks
Implementation related to the Deep Complex Networks
Artificial-Neural-Networks-Visualizer
Visualizing Artificial Neural Networks (ANNs) with just One Line of Code
dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Hyperspectral-Image-Segmentation
Semantic Segmentation of HyperSpectral Images using a U-Net with Depthwise Separable Convolutions
SuperResolution
Pytorch Implemenation of a SRGAN with regularization loss to stabilize GAN training. Work presented at the Japanese conference MIRU.
recurrent_neural_network
This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube
dft-wiener-deconvolution-with-psf
Python2 (OpenCV, NumPy) application to refocus blurred images using Wiener deconvolution.
rnn-tutorial-gru-lstm
Language Model GRU with Python and Theano
visualize-traffic-accidents-in-uk
Data Science, Visualization, and Predictive Analytics: Kaggle Dataset - 1.6M accidents & traffic flow over 16 years
Skin-Cancer-HAM10000
Image recognition: using keras tensorflow to classify images of pigmented skin cancer lesions into their respective classes
UNet-Satellite-Image-Segmentation
A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.
road_extraction_remote_sensing
Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)
multilabel-unet
Multi-label Cloud Segmentation Using a Deep Network
Ship-Detection-using-Tensorflow
Using the Airbus ship detection data from satellite images I have created a detection model using Yolo algoriithm.
Medium_Data_Preprocessing
Repository for the medium article about data preprocessing
HSCNN-Plus
HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images in CVPRW 2018 (Winner of NTIRE Challenge)
FewShot_GAN-Unet3D
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Awesome-Super-Resolution
A curated list of awesome super-resolution resources.
WMCNN-Pytorch
The Pytorch reproduction of WMCNN [Aerial Image Super Resolution via Wavelet Multiscale Convolutional Neural Networks]
wdsr_ntire2018
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
Super_Resolution_DNN
Implementation of Deep Learning Neural Network (RUnet) for Super-Resolution