43 skills found · Page 1 of 2
bkaradzic / Metal CppMetal-cpp is a low-overhead C++ interface for Metal that helps developers add Metal functionality to graphics apps, games, and game engines that are written in C++.
LeeTeng2001 / Metal Cpp CmakeMetal graphic api ported to C++ with CMake build system
metal-by-example / Learn Metal Cpp Ios"Learn Metal with C++" samples, ported to iOS
recp / Cmt🎮 C Bindings/Wrappers for Apple's METAL framework
arobenko / Bare Metal Cpp SrcSource of the "Practical Guide to Bare Metal C++" free e-book
larsgeb / M1 Gpu CppMetal Shading Language on Apple M1's GPU for scientific C++.
jMetal / JMetalCppA C++ version of jMetal, a Java framework aimed at multi-objective optimization with metaheuristics.
bkvogel / Metal Performance TestingScientific computing with Metal in C++: Matrix multiplication example
postmalloc / Metal Cpp ExampleJust a C++ port of Apple's Metal API example
gzorin / Sdl Metal Cpp ExampleUse Metal's C++ interface to draw a triangle in a SDL window
arhix52 / StrelkaRealtime render for USD
christopherkarani / EdgeRunner🚀 LLM inference Engine in Swift/Metal, Load GGUF and safe tensors modes, no conversion, no cpp, pure swift
dpogue / CMake MetalShaderSupportCMake modules to support compiling Apple Metal shaders as part of a CMake build system.
painfulexistence / Project VaporMy journey of developing a current-gen 3D game engine with Metal-cpp and Vulkan
smrfeld / Pytorch Cpp Metal TutorialTutorial for (PyTorch) + (C++) + (Metal shader)
yhirose / SilarrayAdaptive Numerical Computing Library for Apple Silicon
say4n / Metal.computea verbose example on using metal with C++ to perform arbitrary compute on GPUs
arobenko / Bare Metal CppGenerated site from https://github.com/arobenko/bare_metal_cpp_src. Browse to https://arobenko.github.io/bare_metal_cpp/.
tako3 / Learn Metal CppApple's metal sample code - Learn Metal with C++
thebasedcapital / Ane InferApple Neural Engine (ANE) LLM inference engine — reverse-engineered private APIs, Metal GPU shaders, hybrid ANE+GPU+CPU on Apple Silicon. 32 tok/s matching llama.cpp, 3.6 TFLOPS fused ANE mega-kernels.
