SciML Open Source Scientific Machine Learning

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form...

SciML

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

SciML

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

SciML

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

SciML

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

SciML

Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations

SciML

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

SciML

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

SciML

Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization

SciML

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

SciML