LSTM layers supported
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Updated
Oct 24, 2019 - Jupyter Notebook
LSTM layers supported
Models made for Edge Devices and NN Optimizations
💊📸Real-time Pill classification App in Flutter using camera and tflite plugin.
To provide security to smart phones by constantly monitoring whose in front of device and if a non recognised person is present then it shuts the screen off.
A reusable plugin to support TFLite models in Unity
A Flutter application that detects objects in a picture from your gallery using TensorFlow Lite models..
deploy of Handwritten digits classification model on Android
trainning and deploy of Drowsiness detection model on Android app.
Face Mask Detection using OpenCV and caffee to face detection
TFLite applications: Optimized .tflite models (i.e. lightweight and low latency) and code to run directly on your Microcontroller!
web app to recognize whether or not its a picture of tree. final project from generation girl class.
Application to help blind or visually impaired people know about battery condition, make calls, messages. or know about surrounding objects.
TF_Lite
Homeland to test your Tensorflow models using tflite
Some basic ML models in a single Android Application.
Project mobile application - Integrating Tensorflow model into mobile app.
How to convert h5 model to tflite model
This is a Flutter +TFlite project made to detect stress in image and provide ways to calm yourself.
A project that can compose an image into a cartoon or the style of another image by using pre-trained deep learning models.
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