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General Relativistic Orbital Dynamics in Julia

An implementation of PSIS algorithms in Julia.

An opinionated layer on top of FFTW.jl to provide simpler FFTs for everyone.

A Julia wrapper for cusolverRF

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Nonlinear regression in Julia

A Julia extension package to Wavelets.jl

Utilities for characterizing sources in astronomical images.

From Semiconductor to TransistorLevel Modeling in Julia

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Useful tools for working with isometric or unitary tensors

Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection

Easy-to-use Spherical Harmonics, based on FastTransforms.jl

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Simple, blazing fast, transformer components.

A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.

Julia package for multicellular modeling

A generic FEM solver by meta-expressions

DynamicHMC versions of StatisticalRethinking models

Simulating Rydberg atom dynamics with Tensor Networks

WIP: Wrapper package for the sample method in Stan's cmdstan executable.

Relational piecewise-linear overapproximations of multi-dimensional functions

✂️ Pooled CRISPR screen optimization tool

Image processing based on image phase information.

Julia Operators LIbrary

A Julia package to extend the notion of vectors and matrices

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

Core methods and structures for neuroscience research in Julia.

Uniform interface for machine learning in Julia

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl

Make turbulence with words

Julia package for using Jags as an external program

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Representing machine learning models using mathematical programming

Core interface to design, solve, and simulate trajectory games.

Empirical Bayes estimation and inference in Julia.

High Oscillatory Ordinary Differential Equation Solver in Julia

Tools for chemometrics and machine learning on high-dimensional data (e.g. Partial least squares regression/discrimination)

Working efficiently with datasets where observations have associated uncertainties.