The Julia Programming Language

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

Package to call Python functions from the Julia language

Forward Mode Automatic Differentiation for Julia

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

This repository contains fundamental codes related to CFD that can be included in any graduate level CFD coursework.

Reverse Mode Automatic Differentiation for Julia

WebGL-based 3D visualizer in Julia

A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.

Familiar vectorized routines from R/Python/MATLAB, plus some more.

A Differentiation Without A Difference