Write Swift like Numpy
Numpy
import numpy as np
a = np.arange(27).reshape(3, 3, 3)
b = a[1:3, :, 0]
c = np.sin(a) + a.T
a[a > 20] = 0
Matft
import Matft
let a = Matft.arange(start: 0, to: 27, by: 1, shape: [3, 3, 3])
let b = a[1~<3, Matft.all, 0]
let c = Matft.math.sin(a) + a.T
a[a > 20] = MfArray([0])
Numpy-like API
Function names, arguments and behaviors follow Numpy, so you can port Python code almost line by line.
Powerful indexing
Slicing with ~<, negative, boolean and fancy indexing, and views sharing memory as in Numpy.
Fast with Accelerate
Math, statistics, linear algebra and FFT are backed by Apple's Accelerate framework.
Complex numbers
Arithmetic, math and indexing on complex arrays.
Image and audio
OpenCV-compatible image processing, PIL / transformers-compatible preprocessing and librosa-compatible audio features.
Works with MLX
Zero-copy conversion between MfArray and MLXArray: preprocess with Matft, infer with MLX.