Data used in Climate Indicator Project figures and tables

The ProFSea tool provides global and regional sea-level projections.

ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

postprocessing for 2d versions of JULES

K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

A python package from Ordnance Survey, designed to make data from the OS Data Hub APIs readily accessible to developers.

Implementation of pseudo RYB color conversions derived from Johannes Itten's color wheel.

Ternary plots as projections of Matplotlib

Easy emulating of geophysical models including (but not limited to!) Earth System Models.

Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.

An extremely fast Python package and project manager, written in Rust.

An icon library for Svelte/SvelteKit based on Remix Icon. Consists of more than 3000 icons.

Hybrid ML + physics model of the Earth's atmosphere

Content for SciPy 2024 Tutorial "Github Actions for Scientific Data Workflows."

Xarray extension for DGGS

Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Batch generation from xarray datasets

Python SDK for the Felt API

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

The Python library to create stand-alone and interactive d3 charts.

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

NeuralGCM's differentiable dycore

Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

Code to accompany paper

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Climate Analytics using Deep Neural Networks in Python.

A toolbox to iNNvestigate neural networks' predictions!

A framework for composing Neural Processes in Python