A Minimalist Machine Learning Library written in Swift
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Updated
Jul 25, 2017 - Swift
A Minimalist Machine Learning Library written in Swift
vector and matrix in swift accelerate
Demo project with very fast blurring image through Apple Accelerate Framework
Matrix operations for La based on Apple's BLAS.
A Swift library that leverages the Accelerate framework power to provide high-performance functions for matrix math.
Train neural networks with hardware acceleration in Swift
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.
A library for linear algebra with type-safety written in Swift.
Scales video in time domain
Scales all channels in time domain of an audio file into another multi-channel audio file
WWDC21 Swift Student Challenge Submission
Mandelbrot Set calculated on GPU using Metal API. Avalailable for iOS and macOS (Catalyst).
Numpy for swift through Accelerate
CoreML+Metal implementation of "Video Frame Interpolation via Adaptive Separable Convolution"
A Sudoku Solver that leverages TensorFlow and iOS BNNS for deep learning.
Compares the speed of Apple's two deep learning frameworks: BNNS and Metal Performance Shaders
A 3D spherical tag cloud view for iOS and Swift.
Generate WaveForms Images from Sounds and Videos on macOS and iOS (Swift 5.x)
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