Kristian Aalling Sørensen's starred repositories
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
GeoStats.jl
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Introduction-to-Julia
Learn the language basics in this 10-part course.
keras-anomaly-detection
Anomaly detection implemented in Keras
SatelliteToolbox.jl
A toolbox for satellite analysis written in julia language.
Rasters.jl
Raster manipulation for the Julia language
NCDatasets.jl
Load and create NetCDF files in Julia
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.
marine-debris.github.io
Quick Start Guide for MARIDA (Marine Debris Archive)
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...
sentinel1-burst-id
A prototype for assigning a unique burst id to Sentinel-1 SLC bursts
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).
Electro-Optical-Sentinel-2-images
Sentinel-2 images are Multi-Spectral satellite images (Electro-optical). Here, utility functions and various index analyses are implemented.
SatelliteToolboxTle.jl
Create and parse two-line elements (TLE).