584 Open source projects that are alternatives of or similar to numerics

Computational Methods for Numerical Analysis

A Finite Difference Method Engine in C++

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

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

Numerical C++ examples.

Numerical Methods (NM) for BE Electrical II Year / II Part, Email: [email protected]

Discretizations of Exterior Calculus for Analysis, Geometry and Topology

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

Numerical methods implementation in Python.

Quantitative Interview Preparation Guide, updated version here ==>

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

Bandicoot: GPU accelerator add-on for the Armadillo C++ linear algebra library

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

Fortran Object-Oriented Differential-equations Integration Environment, FOODIE

Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)

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

High-performance TensorFlow library for quantitative finance.

Fortran Library for numerical INTegration of differential equations

Finite Element tools in Julia

Brain Dynamics Programming in Python

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

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

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

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

Math.NET Numerics

Numerical Analysis code from the Oscar Veliz YouTube Channel

Computational Neuroscience Crash Course (CNCC 2019)

A C++ header-only for data transfer between linear algebra libraries (Eigen, Armadillo, OpenCV, ArrayFire, LibTorch).

Data science and numerical computing with Julia

Mathematical preliminaries for machine learning

Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.

High level linear algebra library for Dlang

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

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

Educational Python implementation of the Canny Edge Detector

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Python notebooks for Numerical Analysis

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

Statistical Machine Intelligence & Learning Engine

Rust numeric library with R, MATLAB & Python syntax

Linear algebra package for rust-ndarray using LAPACK binding

Repository for source code of kaggle competition: House Prices: Advanced Regression Techniques

A matrix library

A Jupyter notebook where I play with my Goodreads data

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

quizzes/assignments for mathematics for machine learning specialization on coursera

Self-study plan to achieve mastery in data science

An intelligent block matrix library for numpy, PyTorch, and beyond.

PHP library for scientific computing powered by C

Linear algebra library for Rust.

MATLAB code for Relevance Vector Machine using SB2_Release_200.

Method of Manufactured Solutions Repository

GraphBLAS for Python

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

Set of examples of ML approaches implemented in C++

🚀 🐍 Optimizes Python bytecode calculating linear recurrences

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

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.