MLX: An array framework for Apple silicon
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MLX: An array framework for Apple silicon
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Efficiently computes derivatives of NumPy code.
The public CGAL repository, see the README below
ArrayFire: a general purpose GPU library.
N-D labeled arrays and datasets in Python
C++ tensors with broadcasting and lazy computing
Multi-dimensional arrays (tensors) and numerical definitions for Elixir
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
An implementation of chunked, compressed, N-dimensional arrays for Python.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
📈 Multidimensional arrays for JavaScript
Fast NumPy array functions written in C
A lightweight high performance tensor algebra framework for modern C++
Ruby/Numo::NArray - New NArray class library
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Dlang Core Library
The V Tensor Library
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
SIMD enhanced Array operations
MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.
👩💻 Matrix and other math, accelerated by WebGPU and WASM
SIMD powered simple-math numerical operations on arrays for Common Lisp through CFFI [still experimental]