There are 3 repositories under ndarray topic.
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
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
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
Scientific computing with Perl
Computer vision library built on top of ndarray
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
Proc-macro based einsum implementation for rust-ndarray
A Python package which provides tools to convert files to and from IDX format (described at http://yann.lecun.com/exdb/mnist/) into numpy.ndarray.
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.
NumPy fundamentals for tensor computation; Matplotlib for data visualization
N-dimensional arrays, with Zarr and HDF5 integrations