Skip to content

Identification of phytoplankton blooms from observational data

License

Notifications You must be signed in to change notification settings

limash/blooms-ml

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

70 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

blooms-ml

Report

Identification of phytoplankton blooms using machine learning methods.

Overview

The description can be found in the report. The implementation of machine learning methods is based on JAX/FLAX.

Quick install

Install and activate a python environment, for example:

python3 -m venv venv/blooms-ml
source venv/blooms-ml/bin/activate

Then install blooms-ml:

git clone https://github.com/limash/blooms-ml
cd blooms-ml
pip install -e .[ml-cpu]

About

Identification of phytoplankton blooms from observational data

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published