Ou Ku
swyft
swyft is the official implementation of Truncated Marginal Neural Ratio Estimation, a hyper-efficient, simulation-based inference technique for complex data and expensive simulators.
- Bayesian Inference
- Data Analysis
- Jupyter Notebook
- Python
Introduction to Geospatial Raster and Vector Data with Python
This lesson material shows how practical geospatial data analysis tasks can be carried out using Python
- Data Analysis
- geospatial
- Image processing
- + 4
MOTrainer
Measurement Operator Trainer for data assimilation purposes.
- Data assimilation
- High performance computing
- Machine learning
- + 2
- Jupyter Notebook
- Python
- TeX
- + 1
SARXarray
An Xarray extension to process coregistered Single Look Complex (SLC) image stacks acquired by Synthetic Aperture Radar (SAR).
- Dask
- InSAR
- Interferometry
- + 6
- Python
Laserfarm
Laserfarm: Laserchicken Framework for Applications in Research in Macroecology. Leverage Laserchicken in distributed fashion to use continental scale point cloud datasets for research.
- Python
- Jupyter Notebook
- Dockerfile
JupyterDaskOnSLURM
A Dask cluster and a Jupyter server on a SLURM system
- Big data
- High performance computing
- jupyter notebooks
- + 1
- Python
- Shell
STMtools
Xarray extension for Space-Time Matrix.
- Deformation
- InSAR
- PSI
- + 2
- Jupyter Notebook
- Python
CoeusAI
The CoeusAI QGIS plugin is designed for exploration of multiband geospatial datasets. It lets the user iteratively train and retrain segmentation models in seconds. A combination of Deep learning and traditional machine learning is used, leveraging the best of both methods.
- deep learning
- gis
- Machine learning
- + 2
- Python