Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

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

PyO3-based Rust bindings of the NumPy C-API

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

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

Full NumPy, in TypeScript/JavaScript (94% coverage)

The V Tensor Library

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

Scientific computing with Perl

Deep.Net machine learning framework for F#

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

Cloud-optimized GeoTIFF ... Parallel I/O 🦀

An n-dimensional rust tensor library

A Rust Library for High-Performance Tensor Exchange with Python

Small collection of data types/structures, utilities & open-learning with Zig

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

A high performance N-dimensional array library for Rust

Proc-macro based einsum implementation for rust-ndarray

JS ND-Arrays inspired by NumPy.

Like NumPy, in JavaScript. It's a modification of the numjs project. Improvement: TypeScript/ES6/Documentation, etc. Published a new npm package, @d4c/numjs, used by alphago-zero-tictactoe-js.

N dimensional array package for numeric computing in swift.