Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
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
Fast, Complete NumPy for TypeScript & JavaScript
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#
Colourful tensor operation visuals for NumPy style arrays, built for notebooks, docs, and teaching shape transformations.
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
Add a description, image, and links to the ndarray topic page so that developers can more easily learn about it.
To associate your repository with the ndarray topic, visit your repo's landing page and select "manage topics."