Stars
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Example deep learning projects that use wandb's features.
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A collection of tools to work with Google Earth Engine Python API
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Python GUI to visualise and analyse efficiently large sets of geolocated time series
Earth observation processing framework for machine learning in Python
Time series forecasting with PyTorch
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
Information on GrIMP tools with links to other repositories
Streamlit — A faster way to build and share data apps.
python toolbox for visualizing geographical data and making maps
Automated SfM processing of historical aerial photographs.
This is a link list with awesome data, models, and tools around the cryosphere.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!
A unified framework for machine learning with time series
A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
Calculate surface ice velocity from repeat passes of ICESAT-2.
Finite element modeling of glaciers and ice sheets
Jupyter notebook-based tutorials to learn how to access and work with select NSIDC DAAC data.
Python Geospatial Data Analysis Course offered at UW during winter 2020
Combined repository for the final tutorial material presented at the 2020 ICESat-2 Cryosphere-themed Hackweek presented virtually by the University of Washington.