A pure Julia package built on top of Rasters.jl for visualizing, analyzing, and processing remotely sensed imagery.

Julia wrapper for TBLIS with TensorOperations.jl

Building and using pyramids for large raster data

Aquatic biogeochemistry for PALEO framework

Ocean components for the PALEO biogeochemical framework

Read TIFF datasets with a similar API than NetCDF files

🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

A Julia interface to the ReefMod Engine API

TensorKit extension for reading in categorical data.

A Julia package to provide RML imaging methods for high-resolution radio interferometry

Julia implementation of various electron-correlation methods (main focus on coupled cluster methods).

High level functions for analyzing the output of simulations

Makie package to plot maptiles from various map providers

Modules to analyse ocean model output or observational data that are saved as Raster data structures.

Construct forcing data from Atlas et al (2020), https://doi.org/10.1029/2020MS002205, for use with TurbulenceConvection.jl

GPT-3 as a generative function in Gen.

Accelerated computation of glacial isostatic adjustment for laterally-variable solid-Earth

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

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Library for simulating time binned photons in Waveguide Quantum Electrodynamics

Gaussian Mixture Model Parameter Estimation

🌎 Tools for realistic regional-to-global ocean simulations, and coupled ocean + sea-ice simulations based on Oceananigans and ClimaSeaIce. Basis for the ocean and sea-ice component of CliMA's Earth system model.

An idealized atlantic

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A framework to define and output observables and statistics from CliMA simulations

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Example data loading for ArviZ.jl

A base module to handle NetCDF4 data in EHT Julia ecosystem

A Julia package for behavioural modeling

A high level interface to GRIB encoded files.

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Scalable and distributed matrix-free abstractions for machine learning and scientific computing

A Julia package to handle high dimensional astronomy image data sets for radio interferometry

A package for obtaining the effective time-averaged Lindbladian.

BOSS (Bayesian Optimization with Semiparametric Surrogate)

🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics

General Relativistic Orbital Dynamics in Julia

Working with simple feature GIS data in Julia