IowncodeA curated collection of iOS, ML, AR resources sprinkled with some UI additions
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Fritz ExamplesA collection of experiences utilizing machine learning models from Fritz AI
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Ios Learning Materials📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS [and Apple Platforms].
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WhoAreYouFace detection and recognition with CoreML and ARKit
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Facerecognition In ArkitDetects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
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Coreml In ArkitSimple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.
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CarLens-iOSCarLens - Recognize and Collect Cars
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AGHMNImplementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.
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arkit-demoa demo project for ARKit; detects planes, and adds cubes to the scene when tapping on a detected plane
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Emotion and Polarity SOAn emotion classifier of text containing technical content from the SE domain
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AIBudAn experimental CreateML project for predicting playing musical key and scale in realtime
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bWAPPbWAPP latest modified for PHP7
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FaceAvataaarsPuppeteer Avataaars with your iPhone X (and also test cartoons using BlendShapeRecorder data)
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AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
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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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SCNRecorderThe best way to record your AR experience!
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iOS-ARKitBasic Concepts and Projects using ARKit on iOS.
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HandMRスマホVR(cardboard)・だんグラ上で、ハンドトラッキングを行うためのUnityアセット
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wrld-unity-xr-samplesSamples demonstrating how to use the WRLD SDK to build basic XR experiences in Unity
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soxanWav2Vec for speech recognition, classification, and audio classification
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sense-iOSEnhance your iOS app with the ability to see and interact with humans using the RGB camera.
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STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
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moodlescanTool for scan vulnerabilities in Moodle platforms
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CoreMLDemoCoreML.framework Demo App
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iOS-CoreML-Inceptionv3Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -
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ai-cmsFree and open source Manga CMS (Deprecated!)
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uARKitNo description or website provided.
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CVE-2020-4463IBM Maximo Asset Management is vulnerable to Information Disclosure via XXE Vulnerability (CVE-2020-4463)
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EmotiW2018No description or website provided.
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Pulp-Fiction-ARKitAn experiment using Volume to reconstruct Pulp Fiction's dance scene in Augmented Reality
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cARdFlip your card with ARKit
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ferFacial Expression Recognition
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hfusionMultimodal sentiment analysis using hierarchical fusion with context modeling
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avantindietroSample Swift iOS ARKit project which shows how to implement an Undo feature for ARKit/SceneKit apps.
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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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RECCONThis repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
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BootFinderBoot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!
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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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arkit-depth-rendererDisplays the depth values received by the front-facing camera.
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emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
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MLEdgeDeployAutomatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing
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ESC10-CoreMLAn open-source CoreML model trained on the ESC10 dataset
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NetworkAlarmA tool to monitor local network traffic for possible security vulnerabilities. Warns user against possible nmap scans, Nikto scans, credentials sent in-the-clear, and shellshock attacks. Currently supports live monitoring and network capture (pcap) scanning.
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arkit-graffitiA demo that shows painting on walls with ARKit+SceneKit
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ARRecorderExample of using ARKit's private SPI to record and replay session sensor data
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