Kohonen's self-organising maps for Julia

Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem

ClimaCoupler: bringing atmosphere, land, and ocean together

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Differential equation problem specifications and scientific machine learning for common financial models

Deep Learning made easy and fast

Accelerate your ML research using pre-built Deep Learning Models with Lux

Builds conductance based neural networks iteratively, from ion channels and synapses

Statistical standard error estimation tools for correlated data

A Julia wrapper for the NVIDIA Collective Communications Library.

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

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Compute the action of the matrix exponential

Diagnostics for Oceananigans

Julia APIs for all public Amazon Web Services (requires AWSCore.jl)

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

Geothermal Cloud for Machine Learning

Implementation of SDDP (Stochastic Dual Dynamic Programming) using the StructJuMP modeling interface

A Julia package for working with ICESat-2 & GEDI data as part of my PhD research

Julia MathML parser

A tool to solve optimal control problem

Benchmark tools for solvers

Tidier file reading and writing in Julia, modeled after the readr, haven, readxl, and writexl R packages.

Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)

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Signal logging and scoping for DifferentialEquations.jl simulations.

An energy system optimization model that is flexible, computationally efficient, and academically robust.

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Flux reconstruction method for advection-diffusion type physics

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

Julia package for general many-body exact diagonalization calculation.

Abstraction layer for spanning factor graphs over various technologies

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Constrained and NoNlinear Optimizer of Least Squares

Enclosures of real-valued functions in Julia

Functions plot PowerModels networks

Simple differential equation solvers in native Julia for scientific machine learning (SciML)

Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations