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49 search results found
Differentialequations.jl
⭐
2,689
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Modelingtoolkit.jl
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1,292
An acausal 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
Neuralpde.jl
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864
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Scimltutorials.jl
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698
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Latexify.jl
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501
Convert julia objects to LaTeX equations, arrays or other environments.
Ordinarydiffeq.jl
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479
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Diffeqpy
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456
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Catalyst.jl
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402
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Datadrivendiffeq.jl
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393
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Scimlsensitivity.jl
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291
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Diffeqbase.jl
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282
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Scimlbenchmarks.jl
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279
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Diffeqgpu.jl
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261
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Diffeqdocs.jl
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251
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Sundials.jl
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200
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
Reachabilityanalysis.jl
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184
Compute reachable states of dynamical systems
Scimlstyle
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160
A style guide for stylish Julia developers
Diffeqr
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127
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Jumpprocesses.jl
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127
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)
Diffeqbayes.jl
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119
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
Scimlbase.jl
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111
The Base interface of the SciML ecosystem
Probnumdiffeq.jl
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107
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
Ode.jl
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106
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
Modelingtoolkitstandardlibrary.jl
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89
A standard library of components to model the world and beyond
Diffeqcallbacks.jl
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77
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Fractionaldiffeq.jl
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70
Solve Fractional Differential Equations using high performance numerical methods
Multiscalearrays.jl
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69
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Scimlexpectations.jl
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61
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
Diffeqparamestim.jl
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60
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Delaydiffeq.jl
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53
Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
Cellmltoolkit.jl
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53
CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
Diffeqproblemlibrary.jl
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51
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Reachability.jl
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50
Reachability and Safety of Nondeterministic Dynamical Systems
Sciml.ai
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48
The SciML Scientific Machine Learning Software Organization Website
Diffeqphysics.jl
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47
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Diffeqdevtools.jl
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46
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
Scimloperators.jl
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41
SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
Globalsensitivity.jl
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41
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Flint
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41
Fortran Library for numerical INTegration of differential equations
Sbmltoolkit.jl
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35
SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
Scimlworkshop.jl
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34
Workshop materials for training in scientific computing and scientific machine learning
Dassl.jl
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31
Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
Steadystatediffeq.jl
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25
Solvers for steady states in scientific machine learning (SciML)
Scimltutorialsoutput
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18
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Fenrir.jl
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18
Physics-Enhanced Regression for Initial Value Problems
Adapode.jl
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10
Adaptive P/ODE numerical solvers with Grassmann element TensorField assembly
Exactodereduction.jl
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9
Exact reduction of ODE models via linear transformations
Chaoticdynamicalsystemlibrary.jl
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8
A collection of chaotic ODEs.
Sbmlinterface.jl
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5
Interface between the Systems Biology Markup Language and Julia
Bridgediffeq.jl
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5
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
Sbml2julia
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5
A tool to for optimizing parameters of ordinary differential equation (ODE) models. SBML2Julia translates a model from SBML/PEtab format into Julia for Mathematical Programming (JuMP), performs the optimization task and returns the results.
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