aalling93

dtu_mlops

Exercises and supplementary material for the machine learning operations course at DTU.

FluidSimDemo-WebAssembly

GeoStats.jl

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Bonito.jl

Serving JS to the browser

xsar

Synthetic Aperture Radar (SAR) Level-1 GRD python mapper for efficient xarray/dask based processing

SatelliteToolbox.jl

A toolbox for satellite analysis written in julia language.

SatelliteToolboxTle.jl

Create and parse two-line elements (TLE).

SymbolicRegression.jl

Distributed High-Performance Symbolic Regression in Julia

POS2IDON

Pipeline for ocean feature detection with Sentinel 2

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

software

Introduction to Synthetic Aperture Radar Using Python and MATLAB

mae_rfi

masked autoencoder tensorflow synthetic aperture radar

NCDatasets.jl

Load and create NetCDF files in Julia

marine-debris.github.io

Quick Start Guide for MARIDA (Marine Debris Archive)

Rasters.jl

Raster manipulation for the Julia language

Notebooks

JuliaClimate Notebooks

Makie.jl

Interactive data visualizations and plotting in Julia

SARProcessing.jl

JuliaEO

Repository (data, code, etc.) for the workshop: JuliaEO - Earth Observation with Julia

sentinel1-burst-id

A prototype for assigning a unique burst id to Sentinel-1 SLC bursts

Sentinel_1_python

Sentinel-1 SAR in Python. Work with Metadata, Download Images, Load image, Calibrate the images, Speckle Filter the images. In short: Work with Sentinel 1 with only python...

Introduction-to-Julia

Learn the language basics in this 10-part course.

sentinel1_level0

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

edward2

A simple probabilistic programming language.

Custom-made-SAR-speckle-reduction

Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added thresholds). -Lee filter(Using Masks, ENL ect). Note these fitlers are developed without the use of loops to make them faster.

Electro-Optical-Sentinel-2-images

Sentinel-2 images are Multi-Spectral satellite images (Electro-optical). Here, utility functions and various index analyses are implemented.

t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Deep_learning_anomaly_detection

Deep learning anomaly detection on spatio-temporal AIS data by combining a multi-headed self-attention structure with bidirectional long short term memory(BLSTM) into a Variational Autoencoder (VAE).

keras-anomaly-detection

Anomaly detection implemented in Keras