77 Open Source Sciml Software Projects

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

18.337 - Parallel Computing and Scientific Machine Learning

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 automated transformations of differential equations

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

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

18.S096 - Applications of Scientific Machine Learning

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software

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

Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML)

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

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

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

Benchmarks for scientific machine learning (SciML) software and differential equation solvers

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

Surrogate modeling and optimization for scientific machine learning (SciML)

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

Local, global, and beyond optimization for scientific machine learning (SciML)

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

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

Arrays which also have a label for each element for easy scientific machine learning (SciML)

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.

Automatic optimization and parallelization for Scientific Machine Learning (SciML)

Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)

A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language

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

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

Reservoir computing utilities for scientific machine learning (SciML)

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

Helicopter Scientific Machine Learning (SciML) Challenge Problem

Uncertainty quantification for scientific machine learning (SciML) and differential equations

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

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)

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

It's Angular2 business in the front, and a Julia party in the back! It's scientific machine learning (SciML) for the web

Backend for DiffEqOnline, a webapp for scientific machine learning (SciML)

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Utility functions for exponential integrators for the SciML scientific machine learning ecosystem

A component of the SciML scientific machine learning ecosystem for optimal control

Delay differential equation solvers for the SciML scientific machine learning ecosystem

The SciML Scientific Machine Learning Software Organization Website

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

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

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning

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

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

Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)

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)

Solvers for steady states in scientific machine learning (SciML)

Monte Carlo simulation routines for high-performance parallelization of differential equation solvers and scientific machine learning

Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem

Distributed High-Performance symbolic regression in Julia

Universal modeling and simulation of fluid dynamics upon machine learning

Differentiable Reacting Flow Modeling Software

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

Latent Differential Equations models in Julia.

Chemical Reaction Neural Network

A Julia package that breaks down the curse of dimensionality in solving PDEs.

Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)

The tools for proper interactions between ApproxFun.jl and DifferentialEquations.jl for pseudospectiral partial differential equation discretizations in scientific machine learning (SciML)

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

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

Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.

Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem

High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

LinearSolve.jl: High-Performance Unified Linear Solvers