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Lists (2)
Starred repositories
global automatic rapid watershed delineation
skops is a Python library helping you share your scikit-learn based models and put them in production
California surface water quantity data
A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data
gnodnooh / EEwPython
Forked from csaybar/EEwPythonA series of Jupyter notebook to learn Google Earth Engine with Python
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
Repo for Hamel's Professional Website
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Panel: The powerful data exploration & web app framework for Python
Python version of CLIMADA
Seasonal Hydrological Signatures - Code for analysis and visualisation
Calculate the ET-SCI climate extremes indices
Machine learning in Python with scikit-learn MOOC
material for the CSU-led machine learning tutorial for earth science research
Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models
📈 Estimate effects, contrasts and means based on statistical models
Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis
Unified Complex Network and Recurrence Analysis Toolbox
A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Statistical Rethinking: A Bayesian Course Using Python and NumPyro
A Python library that helps data scientists to infer causation rather than observing correlation.
Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.