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Name: omar soufi
Type: User
Bio: DOCTEUR EN GÉNIE INFORMATIQUE : INTELLIGENCE ARTIFICIELLE Spécialisé en Télédétection Spatiale et Systèmes d'Informations Géographiques
Location: Rabat, Morocco
Name: omar soufi
Type: User
Bio: DOCTEUR EN GÉNIE INFORMATIQUE : INTELLIGENCE ARTIFICIELLE Spécialisé en Télédétection Spatiale et Systèmes d'Informations Géographiques
Location: Rabat, Morocco
Le blog de l'AGD
Collect super-resolution related papers, data, repositories
Curated applications for Kubernetes
Utilisation des méthode de deeep learning pour amélioration de la qualité des images satellitaires- Projet CRTS PFE
TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
Downscaling Oceanographic Data with Convolutional Neural Networks
Image Super Resolution using DreamAI
Densely Residual Laplacian Super-resolution (Benchmark)
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network (Matlab)
Semantic segmentation of different classes in satellite imagery.
Dstl Satellite Imagery Feature Detection
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)
(Benchmark) ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
AI For SEA Computer Vision Challenge Top 10 Solution
Downscaling Oceanographic Data with Convolutional Neural Networks
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Modified version of the original research done on Image super-resolution using GANs
ConvNets created with Keras.
Keras implementations of Generative Adversarial Networks.
EDSR, RCAN, SRGAN, SRFEAT, ESRGAN (Intéressant comme benchmark)
Keras implementation of a multilayer perceptron for the MNIST dataset.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Easy model running super resolution based on SRCNN using Keras.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.