hollance/Forge

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1264 stars · 171 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Forge is a Swift library that wraps Apple's MPSCNN (Metal Performance Shaders CNN) framework to make it easier to build and run deep neural networks on iOS and macOS GPUs. It provides a DSL for layer creation, data conversion helpers, custom layers like depth-wise convolution, and pretrained example models such as LeNet-5, Inception, and MobileNets.

Use cases

• build a neural network on iOS using Metal performance shaders
• run MobileNet or SSD inference fast on iPhone GPU
• convert MPSImage and MTLTexture data to Swift Float arrays
• define CNN layers with a simple Swift DSL instead of MPSCNN boilerplate
• implement custom Metal compute kernels for deep learning layers
• debug and inspect intermediate outputs of a Metal neural network

When to choose

• you need GPU-accelerated neural network inference on iOS 10/11 faster than Core ML
• you want to learn how CNNs are implemented with Metal performance shaders
• you need custom layers like depth-wise convolution on top of MPSCNN

When to avoid

• you target modern iOS versions, since the MPSCNN API it uses is no longer supported
• you want a maintained library, as the author explicitly no longer maintains it
• Core ML meets your performance needs on current Apple platforms

Facets

library · maturity abandoned

deep-learning machine-learning image-processing developer-tools deep-learning machine-learning mobile-development apple-ecosystem metal mps-cnn neural-networks core-ml mobilenet gpu-acceleration unmaintained ios macos swift gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hollance/Forge")