Simon Proud (simonrp84)

simonrp84

Geek Repo

Company:ESA

Location:ESTEC, Netherlands

Twitter:@simon_sat

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pytroll

Simon Proud's starred repositories

resume.github.com

Resumes generated using the GitHub informations

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:44935Issues:299Issues:646

tsfresh

Automatic extraction of relevant features from time series:

Language:Jupyter NotebookLicense:MITStargazers:8164Issues:168Issues:527

techniques

Techniques for deep learning with satellite & aerial imagery

Fast-F1

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

Language:PythonLicense:MITStargazers:2243Issues:35Issues:253

pysheds

:earth_americas: Simple and fast watershed delineation in python.

Language:PythonLicense:GPL-3.0Stargazers:693Issues:26Issues:193

geoda

GeoDa: An introduction to spatial data analysis

Language:C++License:GPL-3.0Stargazers:674Issues:38Issues:2381

GeoTorchAI

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

Language:Jupyter NotebookLicense:AGPL-3.0Stargazers:462Issues:14Issues:22

pyresample

Geospatial image resampling in Python

Language:PythonLicense:LGPL-3.0Stargazers:338Issues:16Issues:214

python-data-viz-workshop

A workshop on data visualization in Python with notebooks and exercises for following along.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:232Issues:11Issues:0

aitlas

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Language:PythonLicense:Apache-2.0Stargazers:180Issues:10Issues:4

ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

Language:Jupyter NotebookLicense:MITStargazers:166Issues:12Issues:3

hydra-floods

HYDrologic Remote sensing Analysis for Floods Python package

Language:PythonLicense:GPL-3.0Stargazers:151Issues:15Issues:35

iris

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

Language:JavaScriptLicense:GPL-3.0Stargazers:120Issues:10Issues:27

ecrad

ECMWF atmospheric radiation scheme

Language:FortranLicense:Apache-2.0Stargazers:45Issues:16Issues:6

planesnet-detector

Detect airplanes in Planet imagery using machine learning

CUMULO

a benchmark dataset for training and evaluating global cloud classification models.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:27Issues:6Issues:0

TAMS

TAMS

Language:PythonLicense:MITStargazers:19Issues:5Issues:13

atdelay

Air Traffic Delays Prediction Models

Language:Jupyter NotebookStargazers:18Issues:1Issues:0

FlyingClimate

What goes up must come down again.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:14Issues:2Issues:0

fastmeteo

A super fast libaray to get meteorological data for flights

Language:Jupyter NotebookLicense:LGPL-3.0Stargazers:13Issues:2Issues:0

satellite-labelling-tool

Satellite labelling tool for manual labelling of storm top features such as overshooting tops, above-anvil plumes, cold U/Vs, rings etc.

Language:PythonLicense:Apache-2.0Stargazers:10Issues:4Issues:7

atrain_match

Matching A-train Calipso/Cloudsat products with AVHRR/VIIRS/MODIS readiances and products

Language:PythonLicense:GPL-3.0Stargazers:9Issues:7Issues:4

tartes

Two-streAm Radiative TransfEr in Snow model

Language:PythonLicense:GPL-3.0Stargazers:9Issues:3Issues:0

mie

Mie spherical particle scattering with derivatives

Language:IDLLicense:GPL-3.0Stargazers:6Issues:4Issues:0

CALIOPy

Various Python utilities for working with CALIOP data

Language:PythonLicense:MITStargazers:5Issues:4Issues:0

satellite-dataloader

Support routines to load satellite data into various formats.

Language:PythonStargazers:1Issues:0Issues:0