Rotation methods for factor analysis and principal component analysis in Julia

Robust SVD and PCA in Julia

Alignment and comparison of small molecules read from .sdf files represented as Gaussian Mixture Models.

A Julia package for kernel functions of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

Split and recombine your data

A Julia package for real-time audification of ODEs and SDEs

Battery modelling using Jutul.jl and BattMo in MRST

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A package for obtaining the effective time-averaged Lindbladian.

Julia package for Determinantal Point Processes

Just the Comrade Models

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

Support for reading and using pseudopotentials in Julia

An Open Nonlinear Structural Analysis Solver in Julia

Abstract types and math operations for OpenQuantumTools.jl.

Physical vector and particle types for Julia

Forward and adjoint photoacoustic operators built on top of JUDI which uses DEVITO as backend for solving wave PDE's.

Library for simulating time binned photons in Waveguide Quantum Electrodynamics

A simple table interface for Julia that is fast and just works.

A Julia package to represent strided views over a parent DenseArray

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A Julia package for reading and writing LAS data

Julia library and command-line tools implementing the RainFARM stochastic precipitation downscaling method.

Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.

A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

Solver for complemetarity-based dynamics.

Variable Selection with Knockoffs

Fast (multivariate) rejection sampling of PDFs using interpolation approximation.

Fast implementations of FastICA and DUET for blind source separation

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Tools for generating and visualizing planar maps

Threaded implementation of dense-sparse matrix multiplication.

Repository for plotting implicitly defined surfaces and curves in R3.

Ground-motion simulation via the Stochastic Method

A julia repository aimed a providing efficient geographic projections for production scale workflows

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A Julia based implementation of Plug and Play Language Models

Calculates multidimensional functions faster by exploiting their separability.