High performance cyclic ray tracing algorithm for neutron transport in Julia.

Storage for results of Bayesian inference

🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

A model framework for the interpretation of mineral age spectra in stratigraphic context

Write and balance chemical equations elegantly and efficiently.

Lrs wrapper module for Julia

Learning Dynamic Movement Primitives in Julia

A general 4x4 transfer matrix for optical waves in layered media for Julia

A Julia client for the JuliaHub platform

Centripetal Catmull-Rom curves for interpoint traversal

The base package for Optimization.jl, containing the structs and basic functions for it.

Ecosystem for writing partial differential equation solvers

A small step for dynamics, a giant leap for SciML

Discrete choice/random utility models in Julia

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

A Julia package for estimating phylogenetic networks from genomic data

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

Helper files for using `Julia` with MTH229.

Persistence Diagrams in Julia

Protein ribbon plots implemented in Julia using Makie

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

Computation graphs for matrix functions

Package Information and Documentation

Tools for general Tight Binding systems

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A flexible Julia toolkit for high-dimensional cellular profiles

The Biochemical Algorithms Library in Julia

Numerical integration methods for structural dynamics problems

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

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

Plot recipe for plotting (decision) trees

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

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

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.

Portfolio optimization

A Julia library of positivity-preserving time integration methods

Is there anything we can't make Bayesian?