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A comprehensive benchmark dataset designed to enhance the development of machine learning models for instance segmentation of agricultural field boundaries.
lang: Jupyter Notebook
stars: 89
last activity:
A collection of scripted tools developed to inform risk analytics for the World Bank's Country Climate and Development Report risk screening activities.
lang: Jupyter Notebook
stars: 20
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Help us build the most accessible and accurate climate tech resource on the planet.
lang: Jupyter Notebook
stars: 80
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Set of tools to calculate degradation responses and degradation related parameters for PV.
lang: Jupyter Notebook
stars: 35
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A Bayesian inference approach for using terrestrial ecosystem observations to optimize terrestrial carbon cycle model states and processes parameters.
lang: Jupyter Notebook
stars: 9
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A collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.
lang: Jupyter Notebook
stars: 387
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Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 208
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Converts battery testing data from native formats to a standardized HDF5 file.
lang: Jupyter Notebook
stars: 49
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A Python package of mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models, primarily supporting the meteorological, climatological and geoscientific communities.
lang: Jupyter Notebook
stars: 169
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A versatile, dynamic systems-optimization modeling framework developed by the IIASA Energy, Climate, and Environment (ECE) Program since the 1980s.
lang: Jupyter Notebook
stars: 136
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Aims to make the data about trees in Great Britain more accessible and understandable, whilst still maintaining good industry practices.
lang: Jupyter Notebook
stars: 8
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Ocean and sea-ice model analysis tools and examples.
lang: Jupyter Notebook
stars: 53
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The aim of the project is to build an open source PV forecast that is free and easy to use.
lang: Jupyter Notebook
stars: 93
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A library for satellite image processing providing all of the functionality necessary for retrieving, and storing EUMETSAT data.
lang: Jupyter Notebook
stars: 44
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Stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).
lang: Jupyter Notebook
stars: 365
last activity: