320 Open source projects that are alternatives of or similar to Quadrature.jl

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

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

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

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

Latent Differential Equations models in Julia.

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)

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

Automatic optimization and parallelization for Scientific Machine Learning (SciML)

Universal modeling and simulation of fluid dynamics upon machine learning

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

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

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

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

The SciML Scientific Machine Learning Software Organization Website

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

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

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

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

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

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

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.

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

Helicopter Scientific Machine Learning (SciML) Challenge Problem

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

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

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

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)

Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation

Abstract operators for large scale optimization in Julia

Visonic Custom Component for integration with Home Assistant

Expectation operators for Distributions.jl objects

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

Standard basic quantum circuit simulator building blocks. (archived, for it is moved to Yao.jl)

Tesla custom integration for Home Assistant. This requires a refresh token be generated by third-party apps to login.

A differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities.

A powerful, simple-to-learn, code-driven approach to programming integrations

Modern Fortran QUADPACK Library for 1D numerical quadrature

KNIME Image Processing Extension

Riverbed Community Toolkit is a public toolkit for Riverbed Solutions engineering and integration

Rcpp Integration for Numerical Computing Libraries

🔄 Natural Transformation Language for Java

A Differentiable Reacting Flow Simulation Package in PyTorch

Isolate tests from the real world, inspired by Ruby's VCR.

Automatic Differentiation for R

Moved to https://github.com/cuba-platform/frontend/tree/master/packages/cuba-rest-js

Fortran Object-Oriented Differential-equations Integration Environment, FOODIE

Hilo integration for Home Assistant

Simple bridge between Symfony and RoadRunner.

Python logging handler that sends your logs to Logz.io using the https bulk input

Differentiable Programming Tensor Networks

Numerically solves equations of motion for a given Hamiltonian function

MAAS Terraform Ansible

Efficient and ergonomic external command invocation for Emacs

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

HTTP Callout Framework - A light weight callout framework for apex HTTP callouts in Salesforce

Integration of Beaver Themer plugin for WordPress (https://pods.io/beaver-themer/)

Integration example of WebDataRocks web reporting tool with the Vue framework

Automatic Differentiation for Tensor Algebras

Home Assistant Lennox S30 / E30 / M30 integration