I'm interested in:
- Computational Imaging:
- Image Reconstruction
- Image Fusion
- Hyperspectral Imaging
- Computer Vision
- Machine / Deep Learning
- Tensor Data Analysis
- Android & Web Development
Name: Mohamad Jouni (Luffy Uzumaki)
Type: User
Company: Université Grenoble Alpes
Bio: Image Processing Engineer. Postdoc @ University of Grenoble Alpes. (When there's a will, there's a way. Believe It!)
Twitter: mhmdjouni
Location: Grenoble, France
Code for ADMM-DAD network
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Source code for the C++ 20 Masterclass on udemy
C++ Exercises and Assignments from Daniel Gakwaya's Course
DenseFuse (TIP2019) - Pytorch 0.4.1
Data-Oriented Programming Book - Examples in Python
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Public repo for DeepLearning.AI MLEP Specialization
Code of Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Welcome
The code from the Machine Learning Bookcamp book and a free course based on the book
PyTorch code for JSTSP2021 paper "Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network""
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition
Material for ODL workshop Dec 2017
Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.
Python module for hyperspectral image processing
Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration - unofficial pytorch implementation
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
Collects and aggregates data based on your WaniKani level, and various Japanese dictionary resources.
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.