Package to build Cases for Power Systems Modeling

Learning Dynamic Movement Primitives in Julia

A Julia client for the JuliaHub platform

Julia Wrappers for SoapySDR

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Centripetal Catmull-Rom curves for interpoint traversal

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Ecosystem for writing partial differential equation solvers

Lrs wrapper module for Julia

Discrete choice/random utility models in Julia

High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

Julia package with several functions to train and analyze Autoencoder-based neural networks

Library for the numerical simulation of open quantum systems.

A modular hydrodynamic code written in pure Julia

Generate audiory stimuli

A Julia package for estimating phylogenetic networks from genomic data

Helper files for using `Julia` with MTH229.

Numerical integration methods for structural dynamics problems

Tools for general Tight Binding systems

Persistence Diagrams in Julia

Protein ribbon plots implemented in Julia using Makie

Computation graphs for matrix functions

Package Information and Documentation

A flexible Julia toolkit for high-dimensional cellular profiles

The Biochemical Algorithms Library in Julia

A small step for dynamics, a giant leap for SciML

Parsing and generation of 3D geometries for robot mechanisms in Julia

Tools to perform group contribution (GC) identification, given the SMILES of a compound

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An astrodynamics package for working in the three body problem

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Orbital dynamics and waveforms for binary black-hole systems, in the post-Newtonian approximation

Library that handles atom structures as XYZ files and properties derived from it.

Julia implementation of Smooth Local Projections (SLP)

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Portfolio optimization

A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

A Julia library of positivity-preserving time integration methods

Is there anything we can't make Bayesian?

Julia client for connecting to FHIR (Fast Healthcare Interoperability Resources) servers and building SMART on FHIR applications