Sponsored by
Sort By
A python-based optimization tool for life cycle assessment (LCA) that aims to import, optimize, solve, retrieve, save, and summarize LCA results.
lang: Jupyter Notebook
stars: 18
last activity:
Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 199
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: 82
last activity:
A versatile, dynamic systems-optimization modeling framework developed by the IIASA Energy, Climate, and Environment (ECE) Program since the 1980s.
lang: Jupyter Notebook
stars: 132
last activity:
A library for satellite image processing providing all of the functionality necessary for retrieving, and storing EUMETSAT data.
lang: Jupyter Notebook
stars: 43
last activity:
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: 164
last activity:
The aim of the project is to build an open source PV forecast that is free and easy to use.
lang: Jupyter Notebook
stars: 85
last activity:
An open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun.
lang: Jupyter Notebook
stars: 186
last activity:
Converts battery testing data from native formats to a standardized HDF5 file.
lang: Jupyter Notebook
stars: 45
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:
Data Analysis and Visualization in Python for Ecologists.
lang: Jupyter Notebook
stars: 168
last activity:
Help us build the most accessible and accurate climate tech resource on the planet.
lang: Jupyter Notebook
stars: 79
last activity:
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: 356
last activity:
Datasets, code and virtual workspace for the Climate Change ATLAS.
lang: Jupyter Notebook
stars: 94
last activity:
Ocean and sea-ice model analysis tools and examples.
lang: Jupyter Notebook
stars: 52
last activity: