🔥🔥🔥色情图片离线识别，基于TensorFlow实现。识别只需20ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，该模型文件可用于iOS、java、C++等平台

Android TensorFlow Lite Machine Learning Example

DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps

The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Indian Currency detector using Deeplearning Image classification using transfer Learning Resenet50 model- 10 , 100 and 500.

Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite.

📲 Transformers android examples (Tensorflow Lite & Pytorch Mobile)

A repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases

Android app that uses a TensorFlow Lite model for image classification of common objects, trained through Google's Teachable Machine.

the face demo on android

Mobile Version of Teachable Machine - Contribution to The Teachable Machine Project

How to run a Keras model on Android using Tensorflow API.

Android + WebRTC + TensorFlow Lite for object recognition in real-time streaming

Pocket AutoML: Tutorial for Creating an Android App for Image Classification with Deep Learning

使用开源人脸口罩检测模型 (https://aizoo.com/face-mask-detection.html) 构建的Android应用程序。

Agro Doc is basically an app that will help farmers easily pinpoint their crop diseases using their smartphones. The app uses a pre trained tensorflow model to identify issues and then suggest possible cures for the crop infections/diseases. #AndroidDevChallenge

Face Recognition (Identification) for Android Devices. Used Firebase ML Kit Face Detection for detecting faces, then applied arcface MobileNetV2 model for recognition

Real-Time Noise Reducer in Android

Iranian debit card (credit card) real-time scanner using Deep Learning and TensorFlow Lite for Android.

Official repository of team NP Devs for Prototype 2.0 held at IIITA