197 Open source projects that are alternatives of or similar to Computationalphysics

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

A linear algebra and mathematics library for computer graphics.

oneAPI Specification source files

100 Days of ML Coding

A language for computing on sparse systems

Quantum Computation Simulator written in golang

A stand-alone pure C++ library for linear algebra and machine learning

Aardvark is an open-source platform for visual computing, real-time graphics and visualization. This repository is the basis for most platform libraries and provides basic functionality such as data-structures, math and much more.

Swift Matrix Library

Structured Matrix Package (LBNL)

Learn this if you want to be a software engineer. Constant vigilance means being continually aware of areas that need improvement. For me, I am constantly searching for valuable resources to ensure I am able to solve any problem that comes my way.

List of DL topics and resources essential for cracking interviews

A collection of algorithms and data structures

NoteCalc is a handy calculator trying to bring the advantages of Soulver to the web.

Mathematical PHP library for scientific computing

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

Numerical computing in Swift – for Linux and macOS

A fast vector/matrix library

THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen

Linear algebra in TypeScript.

sparse matrix pre-processing library

Linear Algebra for Java

Kokkos C++ Performance Portability Programming EcoSystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

N-dimensional matrix class for Rust

Many-dimensional type-safe numeric ops

Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

OCaml bindings for BLAS/LAPACK (high-performance linear algebra Fortran libraries)

NASOQ:Numerically Accurate Sparsity Oriented QP Solver

A Note for Computer Graphics

Idiomatic Kotlin extensions for ojAlgo

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

BLAS-like Library Instantiation Software Framework

Linear algebra for Nim

Matrix laboratory

Krylov methods for linear problems, eigenvalues, singular values and matrix functions

SuiteSparse: a suite of sparse matrix packages by T. A. Davis et al. (This repository contains copies of the official versions.)

Basic linear algebra subroutines for embedded optimization

A Julia Interface to MUMPS

A compile-time linear algebra system for C++

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Matrix Algebra proGrams In Common Lisp.

A polyhedral compiler for expressing fast and portable data parallel algorithms

Calling the PARDISO library from Julia

Statistical Machine Intelligence & Learning Engine

List of resources about foundational knowledge for programmers (supposed to last a few decades)

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

A framework for high-performance domain decomposition methods.

A header-only C++ library for large scale eigenvalue problems

The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning

Teaching Materials for Dr. Waleed A. Yousef

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

A library for visualization and creative-coding

BLAS extension to xtensor

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Like NumPy, in JavaScript

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

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

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Courses, Articles and many more which can help beginners or professionals.