Reinforcement learning, compositionally

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.

COnstraint Based Reconstruction and EXascale Analysis (in Julia)

Plotting functionality for MixedModels.jl implemented in Makie

Elastic foundation contact model for rigid body dynamics.

Signal temporal logic (STL) formulas and robustness in Julia

A set of tools for analyzing molecular dynamics simulations

Drill hole utilities for the GeoStats.jl framework

MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processing including HGLET, GHWT, eGHWT, NGWP, Lapped NGWP, and Lapped HGLET. Some of them were originally written in MATLAB by Jeff Irion, but we added more functionalities, e.g., eGHWT, NGWP, etc.

Julia module to fit and analyze stochastic gene transcription models

Nonlinear Least Squares problems

An optimal power flow tool for perfoming CBA analysis of AC/DC networks

Collection of predefined dynamical systems for DynamicalSystems.jl

Direct solution of the Chemical Master Equation in Julia.

WGPU graphics library julia

Within-subject variance estimation by robust regression (WiSER)

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Ship maneuvering simulation tool with respect to ShipMMG model

A collection of standard topology optimisation problems.

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A computational toolbox for level set-based topology optimisation in Julia

Julia package to generate, estimate, and forecast long memory processes

Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)

Searching methods and models for textual data; it was designed to work with SimilaritySearch.jl

Nonlinear solver bindings for the SciML Interface

Implementation of several algorithms for combinatorial bandits, a kind of reinforcement learning.

Regulatory networks

Modular tracking algorithm for various GNSS Systems

Errors-in-variables estimation in linear regression using Compact Genetic Algorithms

Metric Gaussian Variational Inference

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Efficient inverse statistical mechanical algorithms to generate effective potentials or configurations from pair correlation functions or structure factors.

Local anisotropies and nonstationary spatial processes for the GeoStats.jl framework

Trust-region methods with partitioned quasi-Newton approximations

Julia interface for the Quadratic Programming solver DAQP

Generate population growth rate maps from spatial data

Fractional order systems toolbox in Julia.

Construct a mapping from the unit circle to a closed polygon.

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Wrapper for the constraint-programming solver Chuffed to Julia