DATA-X: m110 - Numpy - Introduction to Numerical Analysis Using NumPy. These materials introduce developers and data scientists to numerical analysis and data manipulation using NumPy. NumPy is the numerical analysis backbone to several popular open source analysis and machine learning packages.

Variadic template for n-dimensional array using lazy evaluation (c++)

A simple one-header multi-dimensional array implementation

Manage shared memory pool of np.ndarray

Multi-dimensional arrays (or tensors) for performing numpy like operations (Fun Project in Development)

Machine learning and deep learning framework for c++

ndarray for Ruby

A simple N-Dimensional Array class template

A* pathfinding through an ndarray of cost values

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

NumPy is a Python package which stands for 'Numerical Python'. It is the core library for scientific computing, which contains a powerful n-dimensional array object.

Test repository for Colour's NFS project

Read and write RAW images (or data arrays) without a headache.

Multidimensional array in modern C++

Check out the power of NumPy

A GPU-accelerated AI library built in Rust and an online playground to use it to recognize digits.

NumPy-compatible multidimensional arrays in C++

Simple Deep Learning library in Rust based on ndarray.

Standalone version of deprecated numpy.matrix module that preserves matlab-like syntax

D-M4th es una librería escrita en C++ que métodos para un fácil manejo de operaciones con vectores, matrices, arreglos dinámicos de N dimensiones y números complejos.