Interface for fitting Gaussian processes

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A toolbox for internal fluid flow for Julia

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FDFD code for scattering and spectral analysis of complex media

A Julia package for Tomography.

Julia Client for the NERSC Superfacilty API

This generates covariance matrices and cholesky decompositions for a set of stochastic integrals.

Relational composition

Surface Magnetic Resonance Probabilistic Inversion

Frame-connection on localization microscopy data

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Package for generating masks and line lists for use in stellar radial velocity measurements

Easily implement a heuristic for solving Mixed Integer problems

Plotting Radiotherapy Beam-Limiting Devices using Plots.jl

A Julia package generated using the OpenAPI Generator, providing a convenient API client for interacting with Mattermost chat platforms, supporting various operations and data models with seamless integration.

Take "snapshots" of the main branches of every repository in a GitHub organization

Reduced Basis Methods for Particle Systems

A Julia package for statistical modeling of binned data, e.g. histograms.

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This package simplifies evolutionary algorithms for applications in systems biology. It can be used to generate oscillating reaction networks, networks that match input timeseries data, or fit parameters (rateconstants).

Unified framework of quantification and unfolding algorithms

A Flexible Quasi-Copula Distribution for Statistical Modeling

Minc2 interface for Julia Language

[WIP] QEDevents.jl: Monte-Carlo event generation for QED.jl

Interface to PowerModels.jl using data in PowerSystems.jl format

Abstract interface and base functions for simulation results

Julia package for different types of asset return or price models

Core API of BAT.jl

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Plotting tools for ElectroPhysiology.jl

Physical mesh interfaces for Julia

Julia implementation of Path Weight Sampling (PWS) to compute information transmission rates

Largrange polynomial based spectral PDE solvers

Julia OpenPolicyAgent Client, Server and CLI.

Image files for olive

Unsupervised Machine Learning: Nonnegative Tensor Networks + k-means clustering

A framework for approximating functions, operators and solving operator equations

Set propagation for neural networks in Julia