Production Android AI with ExecuTorch 1.0 - Deploy PyTorch models to mobile with NPU acceleration and 50KB footprint

Mobile AI: iOS CoreML, Android TFLite, on-device inference, ONNX, TensorRT, and ML deployment for smartphones.

A Kotlin multi-platform wrapper around the PyTorch Lite libraries on Android and iOS.

PyTorch Lite plugin for Flutter. End-to-end workflow from Training to Deployment for iOS and Android mobile devices.

基于Real-ESRGAN的图片AI超分辨率安卓APP

📲 Transformers android examples (Tensorflow Lite & Pytorch Mobile)

病虫害检测APP，pytorch-flutter-Android应用

The flutter plugin for image-to-image-transformation using PyTorch-mobile (android) and CoreML (ios)

Which framework is the fastest on the most popular mobile platform

📲 Flutter application that uses CycleGAN to generates an anime version from a selfie.

identify leaf diseases and insect pest in corn with Convolutional Neural Network.

The simple android app for trying CameraX and PyTorch Mobile or TensorFlow Lite inference

Android application for deploying mscgNetV2 for agriculture aerial image segmentation. Model used can be found at: https://github.com/henrylao/mscgNetV2

PyTorch Mobile starter kit.

Federated Learning client for MNIST model.

Goto Green Grocery Store - Apple ios mobile phone application that recommends Top 5 recipes that can be made with the ingredients by performing object detection on various vegetables.

Simple harness for building an Android image classification app using a Tensorflow lite or PyTorch mobile model.

Probably first open-source mobile detection on pytorch*

an android app which tries to recognize handwritten digits with deep learning using PyTorch Mobile[https://pytorch.org/mobile/home/]

App runs a PyTorch model trained on ImageNet to predict the label of an image fed into it