66 Open source projects that are alternatives of or similar to RootedTrees.jl

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

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

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

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

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

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

Latent Differential Equations models in Julia.

The SciML Scientific Machine Learning Software Organization Website

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

Universal modeling and simulation of fluid dynamics upon machine learning

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

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

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

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

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

Helicopter Scientific Machine Learning (SciML) Challenge Problem

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

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

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

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

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)

Numerical methods implementation in Python.

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

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

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

Automatic optimization and parallelization for Scientific Machine Learning (SciML)

Fortran Library for numerical INTegration of differential equations

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

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.

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

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

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

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

Python notebooks for Numerical Analysis

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.

Brain Dynamics Programming in Python

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

R package for statistical inference using partially observed Markov processes

EPDE - partial differential equations discovery framework

Artifitial Neural Networks for Solving Ordinary and Partial Differential Equations, in this case, Schrodinger's Equation for One Particle in a 1-Dimentional Box

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

Software Suite for Advanced General Ensemble Simulations

Differential equations on manifolds

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

A Differentiable Reacting Flow Simulation Package in PyTorch

Visualize curve shortening flow in your browser.

Computational Methods for Numerical Analysis

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

A brian2 extension to simulate spiking neural networks on GPUs

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

Computational Neuroscience Crash Course (CNCC 2019)

Reachability analysis for closed-loop control systems

library of numerical methods using Armadillo

Repository for B0M36SPJ

Piecewise Deterministic Markov Processes in Julia

Self advection, external force and pressure solve to a velocity field represented by a MaC grid.

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

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

Owl's Differential Equation Solvers

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