CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-modelThis project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…
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Awesome Coreml ModelsLargest list of models for Core ML (for iOS 11+)
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mlmodelzooBuild your iOS 11+ apps with the ready-to-use Core ML models below
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SentimentVisionDemo🌅 iOS11 demo application for visual sentiment prediction.
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Vision CoreML-AppThis app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.
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List-CoreML-ModelsA Big Awesome List CoreML Models.
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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.
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CoreML-samplesSample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
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Hand-Digits-RecognitionRecognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.
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SimpleInceptionV3-ObjCA simple image classification test using Core ML and Inception V3 model in Objective-C
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digitrecognition iosDeep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML
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MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
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Ios Coreml MnistReal-time Number Recognition using Apple's CoreML 2.0 and MNIST -
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Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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Pratik Derin Ogrenme UygulamalariÇeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
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Tensorflow Infogan🎎 InfoGAN: Interpretable Representation Learning
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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LingvoLingvo
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Tensorflow Mnist CvaeTensorflow implementation of conditional variational auto-encoder for MNIST
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