A comprehesive survey about foundation models for weather and cliamte data understanding.

Example notebooks showing how to work with ECMWF services and data

Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

A conda-forge distribution.

XGBoost Feature Interactions Reshaped

This Repository is implementation of majority of Semantic Segmentation Loss Functions

A playbook for systematically maximizing the performance of deep learning models.

Fit interpretable models. Explain blackbox machine learning.

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Parallel Hyperparameter Tuning in Python

Automated modeling and machine learning framework FEDOT

Python library for reading and writing image data

Open source platform for the machine learning lifecycle

Random Forest or XGBoost? It is Time to Explore LCE

ETNA – Time-Series Library

🌎 Verification of weather and climate forecasts 🌍

Universal Regridder for Geospatial Data

Metrics for verifying forecasts

Lucid library adapted for PyTorch

WPS services related to hydrological modeling

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

cuML - RAPIDS Machine Learning Library

Toolbox for Streamflow Signatures in Hydrology (TOSSH)

Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields

Long list of geospatial tools and resources

Raster-based Spatial Analytics for Python

A streamflow characteristics calculator in Python