Elementwise serialization for pointwise structured sorting

WebWorker parallelization for MathTS computations

Rank-N dense Tensor type for MathTS with Float64Array-backed storage

WGSL kernel catalog for browser-side machine learning: matmul, softmax, layernorm, attention, and friends. Each kernel ships with a JS reference for conformance + fallback. Independent of any tensor framework.

Numerical methods for web

A TypeScript ML framework with Rust native backends (CPU, CUDA, WebGPU) — autograd, tensors, and neural network training at GPU speed.

A lightweight deep learning library built in TypeScript

Multi Dimensional arrays for javascript.

High performance matrix manipulation in Javascript

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

Compute the absolute value for each element in an ndarray.

Strided array special math functions.

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

Create a function for applying a unary function to each element in a provided array.

Strided array math functions.

Base strided.

Strided array math operations.

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.

Special math functions.

Apply a function to elements in two input arrays while iterating from right to left and assign the results to an output array.