Block

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

Mlcpp

Set of examples of ML approaches implemented in C++

Measurements.jl

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.

From 0 To Research Scientist Resources Guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Blasjs

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

Mathnet Numerics

Math.NET Numerics

Tutorials

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Technicalnote

Repository to store what we have studied. 📖 We want everyone to get a job through TechnicalNote.

Libflame

High-performance object-based library for DLA computations

Peroxide

Rust numeric library with R, MATLAB & Python syntax

Dlib

Allocators, I/O streams, math, geometry, image and audio processing for D

Mathematics For Machine Learning Cousera

quizzes/assignments for mathematics for machine learning specialization on coursera

Quant Notes

Quantitative Interview Preparation Guide, updated version here ==>

Data Science Masters

Self-study plan to achieve mastery in data science

Phpsci Carray

PHP library for scientific computing powered by C

Deeplearning4j

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…

Cython Blis

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

Cpmoptimize

🚀 🐍 Optimizes Python bytecode calculating linear recurrences

Numerix

A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning

Math Php

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

L1

L1: Tensor Studio — The playground for tensors

Labs

Labs for the Foundations of Applied Mathematics curriculum.

100daysofmlcode

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

Node Sylvester

🐱 Sylvester is a vector, matrix, and geometry library for JavaScript, that runs in the browser and on the server.

Computationalphysics

Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.

✭ 142

linear-algebraAwesome Machine Learning Deep Learning Mathematics

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

Eigen Git Mirror

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

Foundry

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

Gosl

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

Numphp

Mathematical PHP library for scientific computing

Blasfeo

Basic linear algebra subroutines for embedded optimization

Aardvark.base

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.

Foundational Knowledge For Programmers

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

Kokkos Kernels

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

Hackermath

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

Lacaml

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

Algorithms

A collection of algorithms and data structures

Mit Deep Learning Book Pdf

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

Krylovkit.jl

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

Oneapi Spec

oneAPI Specification source files

Hpddm

A framework for high-performance domain decomposition methods.

Math object detection

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.