A set of tools to quickly generate and visualize autonomous driving scenarios for Algames.jl.

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Base package for the GeoStats.jl framework

Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices

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🌎 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.

Tensor network contraction order optimizers for OMEinsum

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Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.

Ternary/simplex plotting recipe/addon for Plots.jl

Commonly used test images

Statically sized tensors and related operations for Julia

Deep Learning made easy and fast

Three-dimensional panel method for low-speed aerodynamics

Differential equation problem specifications and scientific machine learning for common financial models

Statistical bootstrap procedures for time-series data

Powerflow for unbalanced three-phase power distribution systems with distributed generation

Project Management tools, with a particular focus on PERT charts

Accelerate your ML research using pre-built Deep Learning Models with Lux

Specialized tools for MRI

Motif-based weighted spectral clustering in Python, R and Julia

Quickly assemble data from the Panel Study of Income Dynamics (PSID)

Geospatial tables compatible with the GeoStats.jl framework

@yield-based syntax for iterating over collections—foldl for humans™

Complex phase portraits for Julia.

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Extreme value analysis package for Julia

Sparse matrix class with efficient successive insertion of entries

Julia package for the plotting of plane curves and surfaces

Functions for declaring and working with grammars and expression trees in Julia.

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

Express: a high-level, extensible workflow framework for accelerating ab initio calculations for the materials science community

Models and parameterizations for the turbulent ocean surface boundary layer in Julia

Automates adjoints. Forward and reverse mode algorithmic differentiation around implicit functions (not propagating AD through), as well as custom rules to allow for mixed-mode AD or calling external (non-AD compatible) functions within an AD chain.

Accurate and fast tight-binding calculations, using pre-fit coefficients and three-body terms.

ClimaCoupler: bringing atmosphere, land, and ocean together

Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

MultivariatePolynomials implementation using typed variables in Julia

Probability bounds analysis in Julia