coremltools 开源项目推荐（59 个）

likedan /Awesome-CoreML-Models

适用于 Core ML（iOS 11+）的最全模型列表

apple /coremltools

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

john-rocky /CoreML-Models

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.

anupamchugh /iowncode

A curated collection of iOS, ML, AR resources sprinkled with some UI additions

huggingface /exporters

Export Hugging Face models to Core ML and TensorFlow Lite

SwiftBrain /awesome-CoreML-models

Core ML 模型集合

vsyw /Keras-OpenFace

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

onnx /onnx-coreml

ONNX 到 Core ML 转换器

akimach /GestureAI-CoreML-iOS

Hand-gesture recognition on iOS app using CoreML

adobe-research /convmelspec

Convmelspec: Convertible Melspectrograms via 1D Convolutions

younatics /DeepLearningToMobile

Curated way to convert deep learning model to mobile⚡️

MijeongJeon /ShapeDetector_Keras_CoreML

Deep learning installed Shape Detector using Keras and CoreML 📱

asparagui /keras_mnist_demo

Demo of using keras to generate a neural network and iOS 11 to run the converted model.

gaelfoppolo /CoreML-Flowers

Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

udacity /ios-short-core-ml

iOS image classification app using Core ML and MobileNet

anentropic /hft2ane

Tool for exporting Apple Neural Engine-accelerated versions of transformers models on HuggingFace Hub.

dneprDroid /pytorch-coreml-custom-layer-example

PyTorch to CoreML: Writing custom layers with Metal shaders - torch.nn.functional.grid_sample operation

ml-illustrated /Pytorch-CoreML-Sound-Classification

Repo accompanying the blog post "How to Deploy A State-of-the-art PyTorch Model to iOS via Core ML (Part 3)".

ml-illustrated /Pytorch-CoreML-Spectrogram

Repo accompanying the blog post "How to Deploy PyTorch Models with Core ML Conversion Issues"

dneprDroid /DeformConv2d-Metal

CoreML custom layer (GPU-accelerated) and converter for torchvision.ops.deform_conv2d