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.
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
GRASS - free and open-source geospatial processing engine
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
A lightweight high performance tensor algebra framework for modern C++
Ruby/Numo::NArray - New NArray class library
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
The V Tensor Library
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
👩💻 Matrix and other math, accelerated by WebGPU and WASM
SIMD powered simple-math numerical operations on arrays for Common Lisp through CFFI [still experimental]
Multidimensional array similar to NumPy and NArray
Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+). No CGo, no external dependencies. Full support for numeric types, complex numbers, and multi-dimensional arrays. Cross-platform (Windows/Linux/macOS). Part of SciGoLib ecosystem.