A playground for evolutionary computation in Julia

Julia package for working with Keldysh Green's functions

OpenMendel package for haplotyping and imputation

Geothermal Cloud for Machine Learning

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Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

Builds conductance based neural networks iteratively, from ion channels and synapses

A Julia Package for Machine Learning on the Manifold of Positive Definite Matrices

Kernel Density Estimate with product approximation using multiscale Gibbs sampling

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

Distances between heterogeneous tabular data

Toolbox for calculating optical PSFs

Learning Algebraic Varieties from Samples

MCMC Inference for a Hawkes process in Julia

A Julia package for computing processes related to plant ecophysiology and biophysics

Exploring practical possibilities of approximating functions with frames rather than with a basis

Julia Package for Financial Monte Carlo Simulations

Julia MathML parser

Random Integrators for many-body quantum systems

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A tool to solve optimal control problem

Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

Iterative hard thresholding for l0 penalized regression

A julia package to either fit the parameters of a specified equivalent electrical circuit to electrochemical impedance data, or to suggest a plausible circuit configuration for a given set of measurements (either through a comparison of circuits from the literature, or through an evolutionary algorithm approach).

Generate and perturb protein structural ensembles using the ExProSE algorithm

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A package for computing integrals over domains like they are defined in DomainSets.jl.

Abstraction layer for spanning factor graphs over various technologies

Tools for simulating organism dispersal

Flux reconstruction method for advection-diffusion type physics

Building blocks for simple and advanced particle filtering in Gen.

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

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Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

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A Julia package for random variables, some transformations and probabilities

Provides a Simple Way to Calculate ANOVAs From Fitted Linear Models.

A Julia package to simulate light propagation in optical systems