We make it rain like crazy.

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

Some materials for the TA3 2nd Hackathon

High level functions for analyzing the output of simulations

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

Implementation of papers in 100 lines of code.

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automa…

The SciML Scientific Machine Learning Software Organization Website

learning the solution operator for partial differential equations in pure Julia.

Julia client for MLFlow.

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

Adds the common API onto ODEInterface classic Fortran methods for the SciML Scientific Machine Learning organization

High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Delay differential equation solvers for the SciML scientific machine learning ecosystem

Reservoir computing utilities for scientific machine learning (SciML)

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