129 skills found · Page 1 of 5
likedan / Awesome CoreML ModelsLargest list of models for Core ML (for iOS 11+)
microsoft / MMdnnMMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
PINTO0309 / PINTO Model ZooA repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
FluidInference / FluidAudioFrontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
john-rocky / CoreML ModelsConverted CoreML Model Zoo.
dokun1 / LuminaA camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
NovatecConsulting / FaceRecognition In ARKitDetects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
SwiftBrain / Awesome CoreML ModelsCollection of models for Core ML
PINTO0309 / Openvino2tensorflowThis script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
PINTO0309 / Tflite2tensorflowGenerate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
eugenebokhan / Awesome MlDiscover, download, compile & launch different image processing & style transfer CoreML models on iOS.
ileafsolutions / StyleArtStyle Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
jiangxiluning / Facenet Mtcnn To Mobileconvert facenet and mtcnn models from tensorflow to tensorflow lite and coreml （使用 TFLite 将 FaceNet 和 MTCNN 移植到移动端）
vincentfpgarcia / From Pytorch To CoremlA simple guide that explains the steps from training a simple PyTorch image classifier to converting the generated neural network into a CoreML model ready for production
npna / CoreMLPlayerTry CoreML models on multiple images and videos easily and quickly
JacopoMangiavacchi / SwiftCoreMLToolsA Swift library for creating and exporting CoreML Models in Swift
ph1ps / Food101 CoreMLA CoreML model which classifies images of food
juanmorillios / List CoreML ModelsA Big Awesome List CoreML Models.
TheMurusTeam / PromptToImageStable Diffusion app for macOS based on CoreML models
hwchong / MNIST DRAWThis is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.
