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An open API service indexing awesome lists of open source software.
awesome-ml-demos-with-ios
The challenge projects for Inferencing machine learning models on iOS
https://github.com/tucan9389/awesome-ml-demos-with-ios
- Core ML
- TensorFlow Lite
- Pytorch Mobile
- fritz
- Tensorflow Mobile
- this slide(Korean)
- ImageClassification-CoreML - CoreML-DEMO.gif" width="200"/></p> | - |
- MobileNet-MLKit - MLKit-DEMO.gif" width="200"/></p> | - |
- ObjectDetection-CoreML - DEMO.gif" width="200"/></p> | - |
- TextDetection-CoreML - CoreML_DEMO001.gif" width="200"/></p> | - |
- TextRecognition-MLKit - MLKit_DEMO002.gif" width="200"/></p> | - |
- FaceDetection-MLKit - MLKit-DEMO.gif" width="200"/></p> | - |
- PoseEstimation-CoreML - poseestimation-demo.gif" width="200"/></p> | - |
- PoseEstimation-TFLiteSwift - images.githubusercontent.com/37643248/77227994-99ba2a80-6bc7-11ea-9b08-9bb57723bc42.gif" width=200px><img src="https://user-images.githubusercontent.com/37643248/110994933-e68ca780-83bc-11eb-8331-d827e19d2d36.gif" width=200px> | - |
- PoseEstimation-MLKit - MLKit-hourglass.gif" width="200"/></p> | - |
- FingertipEstimation-CoreML - |
- DepthPrediction-CoreML - depthprediction-demo001.gif" width="200"/></p> | - |
- SemanticSegmentation-CoreML - images.githubusercontent.com/37643248/99242802-167ad280-2843-11eb-959a-5fe3b169d8f0.gif" width="200"/><img src="https://user-images.githubusercontent.com/37643248/110972921-e8943d80-839f-11eb-9559-2a32d3b56de0.gif" width=200px></p> | - |
- dont-be-turtle-ios - be-turtle_demo_004.gif" width="200"/></p> | - |
- WordRecognition-CoreML-MLKit
- KeypointAnnotation
- SimpleClassification-CreateML-CoreML - createml-validation-001.png) |  | A Simple Classification Using Create ML and Core ML |
- Core ML | Apple Developer Documentation
- Machine Learning - Apple Developer
- ML Kit - Firebase
- Apple's Core ML 2 vs. Google's ML Kit: What's the difference?
- iOS에서 머신러닝 슬라이드 자료
- MoT Labs Blog
- WWDC2020 10152 Session - Use model deployment and security with Core ML
- WWDC2020 10153 Session - Get models on device using Core ML Converters
- WWDC2020 10673 Session - Explore Computer Vision APIs
- WWDC2020 10099 Session - Explore the Action & Vision app
- WWDC2020 10653 Session - Detect Body and Hand Pose with Vision
- TECH-TALKS 206 Session - QR Code Recognition on iOS 11
- WWDC2020 10657 Session - Make apps smarter with Natural Language
- WWDC2019 256 Session - Advances in Speech Recognition
- WWDC2019 704 Session - Core ML 3 Framework
- WWDC2019 228 Session - Creating Great Apps Using Core ML and ARKit
- WWDC2019 232 Session - Advances in Natural Language Framework
- WWDC2019 222 Session - Understanding Images in Vision Framework
- WWDC2019 234 Session - Text Recognition in Vision Framework
- WWDC2018 708 Session - What’s New in Core ML, Part 1
- WWDC2018 716 Session - Object Tracking in Vision
- WWDC2018 717 Session - Vision with Core ML
- WWDC2018 709 Session - What’s New in Core ML, Part 2
- WWDC2018 713 Session - Introducing Natural Language Framework
- WWDC2017 710 Session - Core ML in depth
- WWDC2017 208 Session - Natural Language Processing and your Apps
- WWDC2017 510 Session - Advances in Core Image: Filters, Metal, Vision, and More
- WWDC2017 506 Session - Vision Framework: Building on Core ML
- WWDC2017 703 Session - Introducing Core ML
- WWDC2020 10642 Session - Build Image and Video Style Transfer models in Create ML
- WWDC2020 10156 Session - Control training in Create ML with Swift
- WWDC2020 10043 Session - Build an Action Classifier with Create ML
- WWDC2019 424 Session - Training Object Detection Models in Create ML
- WWDC2019 426 Session - Building Activity Classification Models in Create ML
- WWDC2019 420 Session - Drawing Classification and One-Shot Object Detection in Turi Create
- WWDC2019 425 Session - Training Sound Classification Models in Create ML
- WWDC2019 428 Session - Training Text Classifiers in Create ML
- WWDC2019 427 Session - Training Recommendation Models in Create ML
- WWDC2019 430 Session - Introducing the Create ML App
- WWDC2018 712 Session - A Guide to Turi Create
- WWDC2018 703 Session - Introducing Create ML
- WWDC2020 10677 Session - Build customized ML models with the Metal Performance Shaders Graph
- WWDC2019 803 Session - Designing Great ML Experiences
- WWDC2019 614 Session - Metal for Machine Learning
- WWDC2019 209 Session - What's New in Machine Learning
- WWDC2018 609 Session - Metal for Accelerating Machine Learning
- WWDC2016 715 Session - Neural Networks and Accelerate
- WWDC2016 605 Session - What's New in Metal, Part 2
- WWDC2020 10632 Session - Optimize Metal Performance for Apple Silicon Macs
- WWDC2020 10603 Session - Optimize Metal apps and games with GPU counters
- TECH-TALKS 606 Session - Metal 2 on A11 - Imageblock Sample Coverage Control
- TECH-TALKS 603 Session - Metal 2 on A11 - Imageblocks
- TECH-TALKS 602 Session - Metal 2 on A11 - Overview
- TECH-TALKS 605 Session - Metal 2 on A11 - Raster Order Groups
- TECH-TALKS 604 Session - Metal 2 on A11 - Tile Shading
- TECH-TALKS 608 Session - Metal Enhancements for A13 Bionic
- WWDC2020 10631 Session - Bring your Metal app to Apple Silicon Macs
- WWDC2020 10197 Session - Broaden your reach with Siri Event Suggestions
- WWDC2020 10615 Session - Build GPU binaries with Metal
- WWDC2020 10021 Session - Build Metal-based Core Image kernels with Xcode
- WWDC2020 10616 Session - Debug GPU-side errors in Metal
- WWDC2020 10012 Session - Discover ray tracing with Metal
- WWDC2020 10013 Session - Get to know Metal function pointers
- WWDC2020 10605 Session - Gain insights into your Metal app with Xcode 12
- WWDC2020 10602 Session - Harness Apple GPUs with Metal
- TECH-TALKS 609 Session - Advanced Scene Understanding in AR
- TECH-TALKS 601 Session - Face Tracking with ARKit
- WWDC2020 10611 Session - Explore ARKit 4
- WWDC2020 10604 Session - Shop online with AR Quick Look
- WWDC2020 10601 Session - The artist’s AR toolkit
- WWDC2020 10613 Session - What's new in USD
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