ppave Goto Github PK
Type: User
ppave's Projects
introduction-to-metal-compute
ios-demos
ios-nd-gif-maker-objc
Resources for Udacity's Gif Maker app in Objective-C.
iossecuritysuite
iOS platform security & anti-tampering Swift library
jdg
Гайд-путеводитель по JDG (ИП) в Польше
kavsoft-tutorials-ios
iOS SwiftUI Tutorials by Kavsoft
keyboard
SwiftUI music keyboard
layoutframeworkbenchmark
Benchmark the performances of various Swift layout frameworks (autolayout, UIStackView, PinLayout, LayoutKit, FlexLayout, Yoga, ...)
learning-av-foundation
Sample code for Bob McCune's Learning AV Foundation book.
learnopencv
Learn OpenCV : C++ and Python Examples
leetcode-prep
leetcode-swift
Solutions to LeetCode by Swift
leetcode-swift-1
My LeetCode solutions in Swift
mapbox-maps-ios
Interactive, thoroughly customizable maps for iOS powered by vector tiles and Metal
marketing-for-engineers
A curated collection of marketing articles & tools to grow your product.
media-watermark
GPU/CPU-based iOS Watermark Library for Image and Video Overlay
met-materials
The projects and the materials that accompany the Metal by Tutorials book.
metal-compute-tools
metal-point-cloud
A point-cloud made from 3d data with Metal.
metal-rendering-tools
metal-text-rendering
Metal text rendering example app that uses MetalRenderingTools under the hood.
metal-tools
metalcamera
Swift, Metal based image and video processing on iOS
metalcoregraphics
Combine the power of Metal and CoreGraphics by sharing resource memory
metalmergestreams
Use Metal to merge front camera stream and video stream. Save into Photos or Live
metalnoise
a Perlin Noise Visualizer for iOS powered by Metal
metalpetal
A GPU accelerated image and video processing framework built on Metal.
metalvideoprocess
MetalVideoProcess is a High-Performance video effects processing framework. It's base on GPUImage3 Metal, support asynchronous and multithread processing.
mlt-materials
The projects and the materials that accompany the Machine Learning by Tutorials book
mtt-distillation
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
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