Ndarray Collection

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⚙️Steel

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

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⚡Electric

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“Like NumPy, in JavaScript”

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📦Normal

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“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”

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⚙️Steel

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“PyO3-based Rust bindings of the NumPy C-API”

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📦Normal

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

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🐉Dragon

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“Multidimensional array library for Kotlin”

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🔮Psychic

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

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📦Normal

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“Rust for data analysis encyclopedia (WIP).”

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🌊Water

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

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💎Aqua

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“Fast, Complete NumPy for TypeScript & JavaScript”

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📦Normal

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“The V Tensor Library”

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🔥Fire

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

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📦Normal

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“Scientific computing with Perl”

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📦Normal

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“Deep.Net machine learning framework for F#”

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🔮Psychic

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“Colourful tensor operation visuals for NumPy style arrays, built for notebooks, docs, and teaching shape transformations.”

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🔥Fire

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“R bindings for xtensor”

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⚙️Steel

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“Rust crates for the H3 geospatial indexing system”

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⚙️Steel

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“Computer vision library built on top of ndarray”