AI

ios-Multi-Perceptron-NeuralNetwork Machine Learning (マシンラーニング) in this project, it implemented multi-layer perceptrons neural network (MLP) (ニューラルネットワ

ios-BPN-NeuralNetwork Machine Learning (マシンラーニング) in this project, it implemented 3 layers ( Input Layer, Hidden Layer and Output Layer ) neural netwo

Clerk Demo This is a preview of Clerk before its open source release. See the Clerk README for more information. To play with this, eval forms in dev/

Hydra Bot Version 2.0.0 Created by DarkThunder | Powered by Discord.js What is this bot? Hydra is a Multi Purpose Discord Bot, Invite Hydra to your Di

The example of running Object Segmentation using Core ML

This project demonstrates the usage of a CoreML model to classify American Sign-Language from a live video feed on iOS. The CoreML model was trained using CreateML on David Lee's American Sign Language Letters Dataset

YOLO v3 TensorFlow Lite iOS GPU acceleration. Training from scratch and making a GPU accelerated mobile application.

This repository represents Ultralytics open-source research into future object detection methods, and incorporates our lessons learned and best practices evolved over training thousands of models on custom client datasets with our

MetalCamera an open source project for performing GPU-accelerated image and video processing on Mac and iOS.There are many ways to use the GPU, including CIFilter, but it's not open or difficult to expand feature and contribute.

SwiftCoreMLTools A Swift Library for creating CoreML models in Swift. Work in progress This library expose a (function builder based) DSL as well as a programmatic API (see examples below). The library also imp

DepthPrediction-CoreML This project is Depth Prediction on iOS with Core ML.If you are interested in iOS + Machine Learning, visit here you can see various DEMOs. GIF demo 1 Screenshot 1 Screens

Tensorflow-lite Deeplab RealTime 1. Demo 2. Requirements: Apple Developer Program Account (Simulator doesn’t have a camera) Xcode 9.2 OpenCV 3.3.1 iOS Pack Git LFS Tensorflow-lite a

PyTorch iOS examples

Core ML Benchmark Benchmarking Deeplab's performance using Core ML on the iPhone 11 and previous devices Running it Most of the important code is in benchmark/ViewController.swift. We simply load the model

NDArray NDArray is a multidimensional array library written in Swift that aims to become the equivalent of numpy in Swift's emerging data science ecosystem. This project is in a very early stage and has a long but excit

Swift Core ML implementations of Transformers: GPT-2, DistilGPT-2, BERT, DistilBERT, more coming soon! This repository contains: For BERT and DistilBERT: pretrained Google BERT and Hugging Face DistilBERT mo

NeuralNetwork A Swift PlaygroundBook about Neural Networks Attribution: The XOR image in the Hello World chapter is based on the work by Heron https://de.wikipedia.org/wiki/Datei:Xor-gate-en.svg. Licens

The challenge projects for Inferencing machine learning models on iOS

Deep learning library for Swift for TensorFlow

Swift for TensorFlow Swift for TensorFlow: No boundaries. Swift for TensorFlow is a next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differen

NSFWDetector is a small (17 kB) CoreML Model to scan images for nudity. It was trained using CreateML to distinguish between porn/nudity and appropriate pictures. With the main focus on distinguishing between

CoreMLHelpers This is a collection of types and functions that make it a little easier to work with Core ML in Swift. Some of the things CoreMLHelpers has to offer: convert images to CVPixelBuffer objects and back

Quantization A deep dive into Apple's coremltools quantization: Reduce the size of a Core ML model without losing (too much) accuracy and performance Last year Apple gave us Core ML, an easy to use framework for runnin

MLModelCamera Create ML enable us to train Core ML models just with Drag-and-Drop. Then, MLModelCamera enable to test the .mlmodel files as a real-time Image Classiffication or Object Detection app just with Drag-and-Dr

Programming Language Classifier An example of how to use CreateML and Xcode 10 to train a CoreML model that is used by the Natural Language framework to classify the programming language of source code. let code = ""

Swift for TensorFlow Models This repository contains TensorFlow models written in Swift. Active development occurs on the master branch. Use the tensorflow-xx branch that corresponds to the release you are using from

This repository currently implemented the CPM and Hourglass model using TensorFlow. Instead of normal convolution, inverted residuals (also known as Mobilenet V2) module has been used inside the model for real-time inference.

An opinionated Swift for TensorFlow starter project. Overview STS is a Dockerized, Swift Package Manager enabled starter repository for Swift for TensorFlow projects. Now with hot-reload of Swift code and third-

MLMOJI Emoji are becoming more central in the way we express ourselves digitally, whether we want to convey an emotion or put some fun into a conversation. This growth’s impact is visible on mobile devices. The availabl

Vocalization Sign Language iOS By Arda Mavi & Zeynep Dikle Vocalization sign language iOS App with deep learning. Download iOS App from App Store: Sesgoritma The under construction!

GestureAI-CoreML-iOS Hand-gesture recognizer using CoreML Demo Screenshots This app is using RNN(Recurrent Neural network) with CoreML on iOS11. The model recognizes the gesture as long

Turi Create Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarit