🧊 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.

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

Package to build Cases for Power Systems Modeling

Learning Dynamic Movement Primitives in Julia

Lrs wrapper module for Julia

A Julia client for the JuliaHub platform

Centripetal Catmull-Rom curves for interpoint traversal

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)

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

Protein ribbon plots implemented in Julia using Makie

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

Persistence Diagrams in Julia

Computation graphs for matrix functions

Package Information and Documentation

A flexible Julia toolkit for high-dimensional cellular profiles

The Biochemical Algorithms Library in Julia

Tools for general Tight Binding systems

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

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

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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

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

Julia implementation of Smooth Local Projections (SLP)

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