Julia package to provide reference European option prices for stochastic volatility models with a known characteristic function, such as the Heston stochastic volatility model.

A collection of points (x, y), together with an interpolation and extrapolation method, on which standard calculation functions are defined.

Prescribed flow models for testing cloud microphysics schemes.

Nonparametric Bayesian volatility learning under microstructure noise

EBIC - a biclustering algorithm in Julia

A lightweight Consensus-Based Optimisation package for Julia

A simple GPU-friendly solver for a system of non-linear equations

Automatic Higher Order Differentiation for Generic Julia Functions

Prescribed flow models for testing cloud microphysics schemes.

A Julia package for higher-order network analysis

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

Neural-Network Outlier Detection Algorithms for Julia

Parsers and processing for geoenergy data file formats in Julia.

An Open Nonlinear Structural Analysis Solver in Julia

Role based authorisation (RBA) plugin for Genie.jl

A semidefinite programming solver for clustered low-rank SDPs

Monotonic cubic interpolation in Julia

Tools for solving constrained dynamical systems

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WAIC and PSIS model comparison methods as explained in Statistical Rethinking.

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Full field solutions of Poisson and Stokes problems in 1D, 2D and 3D. Full field solutions to other problems are welcome!

Julia Implementation of the nonintrusive model reduction approaches: Operator Inference (OpInf) and Lift & Learn (LnL)

Abstract types and math operations for OpenQuantumTools.jl.

A wrapper for the Python PyDSTool library for the SciML Scientific Machine Learning organization

Julia package for Determinantal Point Processes

GraphNetCore.jl is a software package for the Julia programming language that provides an the core functionality of the MeshGraphNets.jl package. Some parts are based on the implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Julia package for producing jammed configurations of hard-spheres using iterative linear programming.

Engineering, Economic, and Environmental Electricity Simulation Tool (E4ST)

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Finite Element tools in Julia: Heat diffusion application

Julia implementation of the discrete analytic signal, computed using the Hilbert transform.

Support for Fourier-based spaces in ApproxFun

Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.

Repository implementing MLJ interface for MultivariateStats models.

NeuralFieldEq.jl: An efficient solver to compute Neural Field Equations in several scenarios

Hand translated version of Cleveland's Lowess.c

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A Julia interface to the Firebird RDBMS

Forecasting using Arar algorithm