roshana-naqvi Goto Github PK

app

autoencoders-for-dimensionality-reduction

A simple, single hidden layer example of the use of an autoencoder for dimensionality reduction

awesome-urdu

📖 A curated list of resources dedicated to Urdu language.

creating-patches-of-multispectral-images

This code will work well for generating training data for all type of high dimensional image files Like MS and HS.

cstf

Implemention of paper “Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization (TIP 2018)"

drpnn-deep-residual-pan-sharpening-neural-network

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

fusebox

MATLAB library for pansharpening and image fusion

fusiongan

FusionGAN: A generative adversarial network for infrared and visible image fusion

imagesr-tensorflow

An image super-resolution implemented by Tensorflow

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

multi-scale-and-depth-cnn-for-pan-sharpening

Matlab implementation of IEEE JSTARS article "A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening", along with the IEEE GRSL article DRPNN. MatConvNet and Caffe are required for full implementation.

nb_conda_kernels

Package for managing conda environment-based kernels inside of Jupyter

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-project

Deep Learning for NLP

pannet-landsat

Implementation of "PanNet: A deep network architecture for pan-sharpening"

pansharp

Collection of Multispectral Satellite Pansharpening Methods

pansharpening-by-convolutional-neural-network

Python implementation of Convolutional Neural Network (CNN) proposed in academic paper

pansharpening-convolutionalautoencoder

Convolutional Autoencoder-Based Multispectral Image Fusion: https://ieeexplore.ieee.org/document/8668404

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

project-android_locator

Code for creating an android application to track lost or misplaced phone with the help of SMS.

psgan

quality-measure-computation-for-pansharped-image

This code actually depicts the computataion of quality metrics using the python built in package sewar 0.4.2.

srez

Image super-resolution through deep learning

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

srgan-with-wgan-loss-tensorflow

SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow

srgan_wasserstein

Apply Waseerstein GAN into SRGAN, a deep learning super resolution model

super-resolution

collection of super-resolution models & algorithms

super-resolution-1

Tensorflow 2.0 based implementation of EDSR, WDSR and SRGAN for single image super-resolution

superresoltuion-of-hyperspectral-images