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active-labeler

auroraml

curator-unlabeled-image-search-guide

A guide for SpaceML’s machine learning pipeline

dtacsnet

Public implementation of DTACS models

expanding-sdo-capabilities

fireclr-wildfires

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

floodmapper

georeader

🛰️ Process raster data in python

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.

helio

helio_tools

helionb-geoeff

helionb-mag

Heliophysics notebooks corresponding to the Mag Dataset

helionb-sdoml

Heliophysics notebooks corresponding to the SDO ML Dataset

image-similarity-search

instrumenttoinstrument

interactive-tsne

karman

Data Driven Thermospheric Density Modeling with Machine Learning

lightning-severe-weather

Severe Weather Prediction Using GLM Lightning Data

mdrait_iti

misr-s2

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

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.

ml4floods

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

ml4floods_docs

pyrocast

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

ravaen

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

rs_tools

self-supervised-learner

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

starcop

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

swipe-labeler

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