74 Open source projects that are alternatives of or similar to FLINT

ODE system solver made simple. For IVPs (initial value problems).

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

A simple but powerful C++ DAE (Differential Algebraic Equation) solver

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

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

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

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

Owl's Differential Equation Solvers

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

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

Bulirsch-Stoer integration of systems of ordinary differential equations in JavaScript

The SciML Scientific Machine Learning Software Organization Website

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

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

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

Python library for ODE integration via Taylor's method and LLVM

Fortran Object-Oriented Differential-equations Integration Environment, FOODIE

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

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

C++ library for ODE integration via Taylor's method and LLVM

Numerical methods implementation in Python.

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)

Brain Dynamics Programming in Python

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

library of numerical methods using Armadillo

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

Simulate from ODE-based population PK/PD and QSP models in R

Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.

Code for Tensorflow Machine Learning Cookbook

Deep Developmental Reinforcement Learning

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

irrlamb is a 3D game that probably involves a lot of physics and frustrating gameplay.

Simulate PK-PD models defined as ODE systems

Work in Progress to refactor and modernize the ODEPACK Library

Files for my Nonlinear Systems and Controls class.

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

Piecewise Deterministic Markov Processes in Julia

The SBML Test Suite is a conformance testing system. It allows developers and users to test the degree and correctness of the SBML support provided in a software package.

Modern Fortran implementation of the DDEABM Adams-Bashforth algorithm

Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Computational Neuroscience Crash Course (CNCC 2019)

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

R package for statistical inference using partially observed Markov processes

library of C++ functions that support applications of Stan in Pharmacometrics

Latent Differential Equations models in Julia.

Visualize curve shortening flow in your browser.

EPDE - partial differential equations discovery framework

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.

Differential equations on manifolds

Computational Methods for Numerical Analysis

Reachability analysis for closed-loop control systems

Repository for B0M36SPJ

Advanced Multilanguage Interface to CVODES and IDAS

Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices

A brian2 extension to simulate spiking neural networks on GPUs

Helicopter Scientific Machine Learning (SciML) Challenge Problem

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