ml-gde/e2e-tflite-tutorials
Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.
This is a collaborative hub for developers to create and share lightweight machine learning models for mobile applications. It helps bridge the gap between complex AI models and their deployment on smartphones, taking a machine learning model and converting it into a mobile-ready version. Mobile app developers, AI researchers, and machine learning engineers who want to integrate AI features into mobile apps would use this.
136 stars. No commits in the last 6 months.
Use this if you are a developer looking for an end-to-end guide or community support to implement TensorFlow Lite models in mobile applications, or if you want to contribute a new mobile machine learning project idea.
Not ideal if you are an end-user looking for a ready-to-use mobile application, as this project focuses on the development process and underlying models.
Stars
136
Forks
26
Language
—
License
Apache-2.0
Category
Last pushed
Feb 09, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ml-gde/e2e-tflite-tutorials"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
geekwenjie/SmartJavaAI
🔥🔥🔥Java免费离线AI算法工具箱,支持人脸识别,活体检测,表情识别、目标检测、实例分割、行人检测、OCR文字识别、车牌识别、表格识别、ASR+TTS、机器翻译等功能,Maven引用即可使用。...
amitshekhariitbhu/Android-TensorFlow-Lite-Example
Android TensorFlow Lite Machine Learning Example
amitshekhariitbhu/AndroidTensorFlowMachineLearningExample
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
jenly1314/MLKit
🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。
nihui/ncnn-android-squeezenet
The squeezenet image classification android example