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

A library for visualization and creative-coding

Math.NET Numerics

Git mirror of the official Eigen's repository -- PULL REQUEST MUST BE SENT TO: https://bitbucket.org/eigen/eigen

MIT-18.06-线性代数-完整笔记

Go scientific library for machine learning, linear algebra, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, graph, plotting, visualisation, tensors, eigenvalues, differential equations, more.

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

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

Like NumPy, in JavaScript

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

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

A linear algebra and mathematics library for computer graphics.

Linear algebra in TypeScript.

BLAS-like Library Instantiation Software Framework

Swift Matrix Library

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

Linear Algebra for Java

A language for computing on sparse systems

List of resources & possible pathway for the Math of Machine Learning and AI.

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

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

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

oj! Algorithms

High Performance Graph Processing with Postgres and GraphBLAS

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

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