Linear periodic time-varying systems tools in Julia

WiNDC Build Stream created in Julia

Julia package to perform Bayesian clustering of high-dimensional Euclidean data using pairwise dissimilarity information.

A Julia package for solving two-dimensional electromagnetic scattering from numerous particles

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Base functionality for Optim.jl and related packages

Stability-constrained Power Flow Models

Non-critical functions for SeaPearl

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A Julia/JuMP Package for Petroleum Network Optimization

MultiGrid Barrier method

Numerical package for the computation and analysis of spectra and eigenvectors of quantum systems

Yet another Quantum simulator

Reweighting survey data so that it sums to some target totals.

Additional algorithms for the SimplePoset type.

Solving a partitioning problem exactly

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(Experimental) Predicting hand assignments in piano MIDI using neural networks

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Chris Sims' `csolve` and `csminwel` optimization functions

A public interface to the SLEEFPirates library

Scalable and distributed matrix-free abstractions for machine learning and scientific computing

Little helpers for neural networks in the Knet ecosystem

A simple method to simulate Genotyping-by-Sequencing (GBS) data.

Successive Convex Programming (SCP) algorithms

Fit experimental data to a variety of sinusoidal models

A Julia package for measuring observables from a time series generated by Monte Carlo sampling methods.

Port of Richard Schreier's Delta Sigma Toolbox

Polyomino.jl - Polyomino generation and chess algorithms implemented in Julia

Plane mortar contact mechanics using automatic differentiation

State space reconstruction (SSR) for the study of dynamical system from time series.

Julia package for opening and analyzing electrophysiological data

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Simulate phenotypes from any GLM model

An implementation of Feynman's variational path integral technique, written in Julia, for the determination of phenomenological properties of the electron in electronic materials.

Julia package to facilitate the construction of JumpProblems on graphs.

Physics-informed Machine Learning

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