SpaceML

ml4floods

An ecosystem of data, models and code pipelines to tackle flooding with ML

Self-Supervised-Learner

Curator can be used to train a classifier with fewer labeled examples needed using self-supervised learning.

RaVAEn

Official code for :rocket: Unsupervised Change Detection of Extreme Events Using ML On-Board :rocket:

GIBS-Downloader

GIBS Downloader is a command-line tool which facilitates the downloading of NASA satellite imagery and offers different functionalities in order to prepare the images for training in a machine learning pipeline.

Swipe-Labeler

Swipe Labeler is a Graphical User Interface based tool that allows rapid labeling of image data.

STARCOP

Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models :rainbow::artificial_satellite:

Missing-Pixel-Filler

missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.

FireCLR-Wildfires

Official code for 🔥 Unsupervised Wildfire Change Detection based on Contrastive Learning 🔥

Interactive-TSNE

Image-Similarity-Search

DTACSNet

Public implementation of DTACS models

georeader

🛰️ Process raster data in python

helionb-sdoml

Heliophysics notebooks corresponding to the SDO ML Dataset

Active-Labeler

floodmapper

Lightning-Severe-Weather

Severe Weather Prediction Using GLM Lightning Data

Worldview-Search-Chrome-Extension

A Chrome Extension for doing similarity search on the WorldView website

helionb-geoeff

pyrocast

End-to-end machine learning pipeline for the prediction of extreme and dangerous wildfires.

rs_tools

Curator-Unlabeled-Image-Search-Guide

A guide for SpaceML’s machine learning pipeline

expanding-sdo-capabilities

helionb-mag

Heliophysics notebooks corresponding to the Mag Dataset

AuroraML

MISR-S2

https://spaceml.org/repo/project/61c0a1b9ff8868000dfb79e1

helio

helio_tools

InstrumentToInstrument

karman

Data Driven Thermospheric Density Modeling with Machine Learning

MDRAIT_ITI