Name: supernova667
Type: User
Bio: An engineering student interested in Data Science, Machine Learning, Mathematical modeling.. and still discovering more domains I'm passionate about.
Location: Clermont-Ferrand, France
Blog: https://www.linkedin.com/in/aafaf-arharas-100b6b1b5/
supernova667's Projects
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellites
Les TPs de C++ , ISIMA ZZ3
Classification des images issues de Google Quickdraw (https://quickdraw.withgoogle.com/data). Le jeu de données proposé comprend 5 classes balancées, avec 15000 exemples d'apprentissage et 5000 exemples de validation : des paniers, des yeux, des lunettes, des lapins et des mains.
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.
Bridging Earth Observation data and Machine Learning in Python
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Level-2A processor used for atmospheric correction and cloud-detection. The active repository is the one below, this one is kept to leave access to the older issues.
Converter of MAJA format to Sen2Cor format
Les TPs de machine learning, ISIMA ZZ3
All Algorithms implemented in Python
Simple Python3 script to convert a user's Spotify playlist to a Play music playlist with only songs in that user's library.
Sen2Three processor
WASP (Weighted Average Synthesis Processor) is a C++/Python software to produce monthly cloud free images from Sentinel-2 Level 2A data obtained with MAJA software. WASP has been designed to minimize the artefacts wich are usually visible on monthly coosites. WASP works on linux environment and requires the installation of the Orfeo ToolBox (OTB).