268 Open source projects that are alternatives of or similar to Fast Style Transfer Coreml

Build your iOS 11+ apps with the ready-to-use Core ML models below

Source code for my blog post series "On-device training with Core ML"

CoreML Vision Text Data & Animal Detector iOS App

A simple demo for Core ML and Style Transfer

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Hand-Drawn Emoji Classifier (WWDC18 Scholarship Application)

A NSFW (aka porn) detector with CoreML

Attention-aware Multi-stroke Style Transfer (CVPR2019)

A demo of creating your own CoreML model

Style Transfer - Alia Bhatt (Google Colab)

A camera object recognition demo using the CoreML & AVCam framework. Required XCode 9 & iOS 11.

This native plugin enables Unity to take advantage of specific features of Core-ML and Vision Framework on the iOS platform.

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS [and Apple Platforms].

Paper List for Style Transfer in Text

Implementation of "Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation".

tensorflow implementation of 'Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer'

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

The better way to deal with MNIST model and Core ML in iOS

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

A troll app to check if an object seen by your camera is a lion. Uses iOS CoreML, Vision APIs

Face Landmark Detector based on Mobilenet V1

Visual programming language written in Swift that assembles to executable Swift code. WWDC '18 scholarship submission.

Human Activity Recognition (HAR) with Keras and CoreML

Build an OCR for iOS apps

Neural Paiters

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

😃 iOS11 demo application for sentiment polarity analysis.

NSLinguisticTagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts. One can use this class to segment natural language text into paragraphs , sentences, or words and tag information about those segments such as parts of speech, lexical class, lemma!

OpenPose Example App

Real-time Mobile Car Pose Estimation with CoreML

Neural network parametrized objective to disentangle and transfer style and content in text

🎥 iOS11 demo application for dominant objects detection.

FrostNet: Towards Quantization-Aware Network Architecture Search

[Deprecated] 🇨🇳中国二代身份证光学识别

✏️ Neural Style Transfer: A Review

Face classifier for "Momoiro Clozer Z" member using Tensorflow/Keras

👨‍🎨️ Generate novel artistic images in Node.js

🏷 iOS11 demo application for predicting gender from first names.

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

[WACV'21] Deep Preset: Blending and Retouching Photos with Color Style Transfer

[SIGGRAPH Asia 2019] Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Code examples for ARKit.

An iOS swift app that detects objects using machine learning (CoreML, Vision)

Detect facial landmarks with TensorFlow and CoreML on iPhone.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Data-parallel image stylization using Caffe.

Deep learning installed Shape Detector using Keras and CoreML 📱

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

🎨 Artistic neural style transfer with tweaks (pytorch).

A simple demo for Core ML

Types and functions that make it a little easier to work with Core ML in Swift.

Semantic segmentation on iPhone using ESPNetv2

Using Machine Learning to predict the type of exercise from movement data

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Neural Style and MSG-Net

🌸 iOS11 demo application for flower classification.