414 Open source projects that are alternatives of or similar to Kinetic.jl

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

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

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

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

Latent Differential Equations models in Julia.

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

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

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

United collection of hybrid Central solvers - one-phase, two-phase and multicomponent versions

Helicopter Scientific Machine Learning (SciML) Challenge Problem

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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)

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

The SciML Scientific Machine Learning Software Organization Website

Basic Computational Fluid Dynamics (CFD) schemes implemented in FORTRAN using Finite-Volume and Finite-Difference Methods. Sample simulations and figures are provided.

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

ExaDG - High-Order Discontinuous Galerkin for the Exa-Scale

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

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

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

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

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

Automatic optimization and parallelization for 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

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

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)

TCAD Semiconductor Device Simulator

Toolbox to simulate GNF and viscoelastic fluid flows in OpenFOAM®

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)

Simple one-dimensional examples of various hydrodynamics techniques

FEATool - "Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS, OpenFOAM, SU2 Solver GUI & Multi-Physics Simulation Platform)

A low Mach number stellar hydrodynamics code

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

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

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 Differentiable Reacting Flow Simulation Package in PyTorch

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.

Wavelet Adaptive Block-Based solver for Interactions with Turbulence

Visualize curve shortening flow in your browser.

Object-oriented multi-mesh version of the classic reacting turbulent multiphase flow solver

A versatile Python-Fortran CFD code that solves a large class of 2D flows

A multi-block solver for massively parallel direct numerical simulations (DNS) of fluid flows

Simple 2d finite volume solver for Euler equations using c++ kokkos library

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

A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

sparse communication library

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

Brain Dynamics Programming in Python

Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

Portable HPC Containers (C++)

Software Suite for Advanced General Ensemble Simulations

R package providing access and examples to TRNG C++ library

Unstructured Compressible Navier Stokes 3D code (UCNS3D)

Numerical methods implementation in Python.

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS

Example datasets and dashboards known to work well in OmniSci