Compares the speed of Apple's two deep learning frameworks: BNNS and Metal Performance Shaders
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Updated
Feb 7, 2017 - Swift
Compares the speed of Apple's two deep learning frameworks: BNNS and Metal Performance Shaders
Numpy for swift through Accelerate
A Minimalist Machine Learning Library written in Swift
A library for linear algebra with type-safety written in Swift.
Matrix operations for La based on Apple's BLAS.
vector and matrix in swift accelerate
A Sudoku Solver that leverages TensorFlow and iOS BNNS for deep learning.
Demo project with very fast blurring image through Apple Accelerate Framework
A lightweight, easy-to-use Matrix data structure in pure Swift
A hobbyist's toy, under construction--actually, more like somewhere between "on hiatus" and "abandoned". An evolution and natural selection simulator. Creatures whose brains and bodies evolve genetically to make them better at eating each other.
Generate WaveForms Images from Sounds and Videos on macOS and iOS (Swift 5.x)
A Swift library that leverages the Accelerate framework power to provide high-performance functions for matrix math.
WWDC21 Swift Student Challenge Submission
Mandelbrot Set calculated on GPU using Metal API. Avalailable for iOS and macOS (Catalyst).
Train neural networks with hardware acceleration in Swift
CoreML+Metal implementation of "Video Frame Interpolation via Adaptive Separable Convolution"
Scales video in time domain
A 3D spherical tag cloud view for iOS and Swift.
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
Scales all channels in time domain of an audio file into another multi-channel audio file
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