Estimate LoD from data

Auxillary package for Julia-LabVIEW (TM) binding over ZMQ

Core functions to obtain closed-form least squares estimates for matrix linear models.

Methods for the evaluation of maximum entropy distributions

Mechanical engineering toolbox for concept exploration, design and analysis.

Mikrubi: a model for species distributions using region-based records

Minifying Atari in Julia

Analyze the layout of manuscript pages edited according to the conventions of the Homer Multitext project

Gaussian Processes for MLJ

Some generic Markov kernels for Monte Carlo

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Julia Package for reading and writing MPI Files

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Reusable NeRF components

Set propagation for neural networks in Julia

Method of moving asymptotes implementation for Nonconvex.jl

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

Bundle of Julia Packages related to Numerics

Image files for olive

Julia OpenPolicyAgent Client, Server and CLI.

Utilities for working with optical flow vector fields

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

Physical mesh interfaces for Julia

Plotting tools for ElectroPhysiology.jl

Dynamic graphs for simulating plant growth and development

Julia package for different types of asset return or price models

Subpackage of PowerDynamics.jl implementing the operation point search incl. interfaces to external power flow solvers

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

A PythonCall wrapper to the eht-imaging julia package

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

Format Quantum ESPRESSO input files

A Flexible Quasi-Copula Distribution for Statistical Modeling

Unified framework of quantification and unfolding algorithms

This package is a Julia implementation of random projections.

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).

Reduced Basis Methods for Particle Systems

Implementations of various Relief-based algorithms in Julia

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

This package formats your data to use in the Ripserer package.

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