The Julia Programming Language

Relax! Flux is the ML library that doesn't make you tensor

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

A Julia machine learning framework

21st century AD

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Forward Mode Automatic Differentiation for Julia

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

The perfect sidekick to your scientific inquiries

High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.

Reverse Mode Automatic Differentiation for Julia

🏔️Manopt. jl – Optimization on Manifolds in Julia

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

A Julia package for manifold learning and nonlinear dimensionality reduction

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

Optimization algorithms for computing maximum-likelihood estimates of mixture proportions.