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Machine Learning iOS applications.

Swift 17.22% Python 1.55% Jupyter Notebook 81.23%
machine-learning ios-app swift3 coreml-framework coreml-models vision-framework coreml coreml-vision

ios-machinelearning's Introduction

iOS Machine Learning

This repository contains my exploration and projects using Machine Learning on iOS.

Requirements

1. XCode with Swift 5+

Project List

S.No. Folder Name About Status
1. Image Recognition Take an image from phone and recognize what's in the image using CoreML Model. Completed
2. Vision CoreML Capture an image from the phone's camera and classify the scene in the image using CoreML. Completed
3. Live Image Classification Live Image classification using real time camera video input to CoreML using Vision Framework. Completed
4. Flower Classification Classify different flowers using Caffee model. Ongoing
5. Image to Location Use a machine learning model to find coordinates of a place in the image and plot them on a map. Ongoing
6. Handwritten Digit Classification Use machine learning to classify digit drawn on the screen. Ongoing
7. Name Origin Classification Use a RNN to find people's name's origin language. Ongoing
8. Kitchen Audio Scene Classification Use Transfer Learning with VGGish model to classify common Kitchen Audio. Ongoing
9. Utterance Intent Classification. Utterance Intent classification using DNN. Completed

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