Read and write tensor protos from multidimensional arrays in Javascript.

Apply a function to elements in two input arrays and assign the results to an output array.

Apply a function to each element in an array and assign the result to an element in an output array.

Real-time 3D brain data visualization powered by EEG/tensors and WebGPU.

C APIs for creating N-API ndarray native add-ons.

Apply a function to each element in an array and assign the result to an element in an output array, iterating from right to left.

Create an iterator which returns [index, value] pairs for each element in a provided ndarray.

Take elements from a two-dimensional nested array.

Flatten an n-dimensional nested array according to a callback function.

Tensor library accelerated by WebGPU

View one-dimensional array data, typed array data and/or multi-dimensional array data as multidimensional tensors of various shapes efficiently

Clustered generator for PoT-O synthetic challenges — tensor dimensioning and networking effects from Part IV — Information-Theoretic Foundation of Spacetime (§3, §4, §7).

Create an iterator which returns individual elements from a provided ndarray.

Flatten a three-dimensional nested array.

Flatten a four-dimensional nested array according to a callback function.

Create an ndarray function interface which accepts a callback function and performs multiple dispatch.

Create an iterator which iterates over each subarray in a stack of subarrays.

Create an iterator which converts each iterated ndarray to a generic array.

Flatten a three-dimensional nested array according to a callback function.

Create an ndarray function interface which performs multiple dispatch.