@yield-based syntax for iterating over collections—foldl for humans™

Express: a high-level, extensible workflow framework for accelerating ab initio calculations for the materials science community

ClimaCoupler: bringing atmosphere, land, and ocean together

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

Three-dimensional panel method for low-speed aerodynamics

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

Statistical standard error estimation tools for correlated data

Common types and interfaces for probabilistic programming

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

Neural network training, fast and easy.

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Tools for the Simulation and Execution of Quantum Annealing Algorithms

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

Analysis of Polarization and Frequency Selective Surfaces

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

OpenMendel package for haplotyping and imputation

A Julia package for calculating topological numbers

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Find out why complex structs are not equal

Random Integrators for many-body quantum systems

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

A tool to solve optimal control problem

Signal logging and scoping for DifferentialEquations.jl simulations.

Julia Package for Financial Monte Carlo Simulations

Your local Flux surgeon

A Julia package for computing processes related to plant ecophysiology and biophysics

Julia MathML parser

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Functions plot PowerModels networks

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

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

Flux reconstruction method for advection-diffusion type physics

Iterative hard thresholding for l0 penalized regression

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.

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

Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization