139 Open source projects that are alternatives of or similar to numerical-methods-python

library of numerical methods using Armadillo

Computational Methods for Numerical Analysis

Discretizations of Exterior Calculus for Analysis, Geometry and Topology

Python notebooks for Numerical Analysis

Educational Python implementation of the Canny Edge Detector

Fortran Object-Oriented Differential-equations Integration Environment, FOODIE

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)

Numerical C++ examples.

Fortran Library for numerical INTegration of differential equations

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

DFO-GN: Derivative-Free Optimization using Gauss-Newton

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

Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)

Package for performing fixed-point, arbitrary-precision arithmetic in Python.

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

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

FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)

A Simple Finite Element Method program (AsFem)

MATLAB implementations of a variety of nonlinear programming algorithms.

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

Optimize floating-point expressions for accuracy

A free LDL factorisation routine

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

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

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

Benchmark(s) of numerical programs with Python (and Scipy, Pythran, Numba), Julia and C++.

Owl's Differential Equation Solvers

Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.

🎨 Web-based implementation of the poisson image blending in HTML5 Canvas / JavaScript

Mathematical preliminaries for machine learning

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

Piecewise Deterministic Markov Processes in Julia

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

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

Matlab library for gradient descent algorithms: Version 1.0.1

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

Matlab implementation to simulate the non-linear dynamics of a fixed-wing unmanned areal glider. Includes tools to calculate aerodynamic coefficients using a vortex lattice method implementation, and to extract longitudinal and lateral linear systems around the trimmed gliding state.

Work in progress emulator for RUNT based Newtons (OMP, Expert Pad, etc)

Learn mathematics behind machine learning and explore different mathematics in machine learning.

Finite Element tools in Julia

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

Data science and numerical computing with Julia

The SciML Scientific Machine Learning Software Organization Website

A brian2 extension to simulate spiking neural networks on GPUs

Examples and demos showing how to call functions from the NAG Library for Python

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

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

Computational Neuroscience Crash Course (CNCC 2019)

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

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

Functional data science

A high-performance, open-source, header-only C++(>=11) library for pricing derivatives.

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

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

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.

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

A mini-course offered to Undergrad physics students

R package for statistical inference using partially observed Markov processes

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