ndarray

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Like NumPy, in JavaScript

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

Owl - OCaml Scientific Computing @ https://ocaml.xyz

PyO3-based Rust bindings of the NumPy C-API

Multidimensional array library for Kotlin

An interactive HTML pretty-printer for machine learning research in IPython notebooks.

Rust for data analysis encyclopedia (WIP).

package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes

The V Tensor Library

Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)

Deep.Net machine learning framework for F#

Scientific computing with Perl

R bindings for xtensor

Rust crates for the H3 geospatial indexing system

Computer vision library built on top of ndarray

👩‍💻 Matrix and other math, accelerated by WebGPU and WASM

PHP tools for matrix computation

Efficient argmin & argmax

N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types