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Set of tools to calculate degradation responses and degradation related parameters for PV.
lang: Jupyter Notebook
stars: 31
last activity:
A comprehensive benchmark dataset designed to enhance the development of machine learning models for instance segmentation of agricultural field boundaries.
lang: Jupyter Notebook
stars: 70
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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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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: 81
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Datasets, code and virtual workspace for the Climate Change ATLAS.
lang: Jupyter Notebook
stars: 84
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A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 241
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Aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.
lang: Jupyter Notebook
stars: 20
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Deep learning tools that accelerate the review of motion-triggered wildlife camera images.
lang: Jupyter Notebook
stars: 801
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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: 41
last activity:
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: 375
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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: 121
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Converts battery testing data from native formats to a standardized HDF5 file.
lang: Jupyter Notebook
stars: 39
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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: 65
last activity:
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
last activity:
A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens.
lang: Jupyter Notebook
stars: 133
last activity: