19 Repositories
Swift M1-GPU-Compute Libraries
Quickstart for Swift on Fastly Compute@Edge
Fastly Compute@Edge Quickstart for Swift This is an example Fastly Compute@Edge app using Andrew Barba's Swift Compute Runtime SDK. It's designed to d
Patch out the GPU checks for any x86-64 macOS Unreal Engine-based game
UnrealGPUPatcher Download here Patch out the GPU checks for any x86-64 macOS Unreal Engine-based game, particularly ARK: Survival Evolved. Requirement
Sudoless Frequency Metric Retrieval for MacOS (Supports Apple Silicon and Intel CPUs and iGPUs)
SFMRM ('sifˌmərˌim) Sudoless Frequency Metric Retrieval for MacOS This project is designed to retrieve active frequency and residency metrics from you
An example of using the GPU on M1 arm64 Macs for basic compute functions
M1-GPU-Compute Using Swift and Apple's Metal API to utilize the GPUs on M1 equipped Macs Adding Two Arrays CPUs perform computations sequentially, wai
Get the current frequency of your Apple M1 GPU.
M1-gpufreq Get the current frequency of your Apple M1 GPU. What It Does and How It Works This project is designed to get the current frequency (or clo
Swift-compute-runtime - Swift runtime for Fastly Compute@Edge
swift-compute-runtime Swift runtime for Fastly Compute@Edge Getting Started Crea
Train neural networks with hardware acceleration in Swift
SwiftML SwiftML enables hardware-accelerated machine learning on Mac with an int
Simple calculation to render cheap water effects.
Water Simple calculation to render cheap water effects. This simple project demonstrates : how to use Metal draw compute shader, or known as 'kernal f
View Metal GPU information from the command-line.
View Metal GPU information from the command-line.
A GPU accelerated image and video processing framework built on Metal.
MetalPetal An image processing framework based on Metal. Design Overview Goals Core Components MTIContext MTIImage MTIFilter MTIKernel Optimizations C
GPU-based media processing library using Metal written in Swift
GPU-based media processing library using Metal written in Swift. Overview MetalAcc is a GPU-Based media processing library that lets you apply GPU-acc
An open source iOS framework for GPU-based image and video processing
GPUImage Brad Larson http://www.sunsetlakesoftware.com @bradlarson [email protected] Overview The GPUImage framework is a BSD-licensed iO
A python library to run metal compute kernels on MacOS 12
metalcompute for Python A python library to run metal compute kernels on MacOS Usage Example execution from M1-based Mac running MacOS 12.0: ./build
Memory leak when CoreML ML Program is runing on GPU
MLProgramMemoryLeak Every layer running on the GPU in ML Program will leak 912 bytes by MPSGraphEngine. This can easily lead to 200KB+ memory leak eve
Compute NeuralHash for the given image
nhcalc Compute NeuralHash for a given image. Works with macOS 11.3 or later. Behind the scene, the implementation invokes the API provided by the Visi
📷 A composable image editor using Core Image and Metal.
Brightroom - Composable image editor - building your own UI Classic Image Editor PhotosCrop Face detection Masking component 🎉 v2.0.0-alpha now open!
GPUImage 3 is a BSD-licensed Swift framework for GPU-accelerated video and image processing using Metal.
GPUImage 3 Janie Clayton http://redqueengraphics.com @RedQueenCoder Brad Larson http://www.sunsetlakesoftware.com @bradlarson contact@sunsetlakesoftwa
GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing.
GPUImage 2 Brad Larson http://www.sunsetlakesoftware.com @bradlarson [email protected] Overview GPUImage 2 is the second generation of th
📷 A composable image editor using Core Image and Metal.
Brightroom - Composable image editor - building your own UI Classic Image Editor PhotosCrop Face detection Masking component 🎉 v2.0.0-alpha now open!