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followers: 31.0 following: 65.0 repos: 28.0 gists: 4.0

Name: Florient CHOUTEAU

Type: User

Bio: Artificial Intelligence & Earth Observation Engineer

Twitter: foxchouteau

Location: Toulouse

Blog: https://fchouteau.github.io/

Hello there 👋, I'm Florient CHOUTEAU

About me

👨‍💻 I work in Artificial Intelligence 🤖 applied to Earth Observation 🛰️🌍

🌱 I teach deep learning, cloud computing and docker and earth observation at ISAE-SUPAERO

🫱‍🫲 I am a community contributor for Toulouse Data Science

💡 Interesting links that I'd like to share with you

Jupyter notebooks can prove harmful but at the same time they are so important. About that, I find jupytext very useful
A recipe for training neural networks is still my go to resource. After all this time ? Always.
I like to my prompt with tools that simplify my life and I love 🧛 Dracula theme

What I'm working with

Where to find me

GitHub Stats

Florient CHOUTEAU's Projects

ai-platform-samples

Official Repo for Google Cloud AI Platform

awesome-geospatial-companies

:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

deep-learning

Deep Learning section of the Algorithms in Machine Learning class at ISAE-Supaero

imgaug

Image augmentation for machine learning experiments.

isae-cloud-computing-codespace

Codespace template

isae-demo-streamlit-activation-functions

isae-gcp-hackathon

Deploy a ML model into production with FastAPI, Streamlit, Docker and GCP

isae-otsu

Repository for ISAE-OTSU class on "Big Data x EO" + Dask, given in February 2023

isae-practical-deep-learning

Code and documentation for a hands-on session on deep learning at ISAE-SUPAERO

isae-practical-gcp

Code and documentation for a 10h hands-on session on cloud & gcp at ISAE-SUPAERO given in 2019

isae-ssl-hackathon-2020

ISAE Semi-Supervised Learning Hackathon for 2020

neural-enhance

Super Resolution for images using deep learning.

PESTO provides a set of tools to ease the process of packaging a Python algorithm as a processing web service into a docker image. The deployment of a web service becomes now as easy as filling few configuration files.