A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
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Updated
Jun 4, 2024 - Python
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Buy Now is an e-commerce app. In this app I use Machine Learning Algorithm for users can search visually. Users upload or take a photo, and this Algorithm will search for a similar product.
End-to-end tutorials on how to create TensorFlow Lite (TFLite) models!
Face Mask Detection using OpenCV and caffee to face detection
Introductory tutorial on converting a TensorFlow model to TFLite model
Android application for Indian license plate recognition using deep learning (Tensorflow) and OpenCV, and extraction of vehicle details from the Vahan website.
License plate recognition . Model training and conversion to tflite
Medical Corner is a medical application that detection of pneumonia and brain tumor. It also provides prediction for heart disease, and diabetes.
How to convert h5 model to tflite model
Homeland to test your Tensorflow models using tflite
This app helps to boost mental health by stress detection and helping ways to reduce it. made for Google solution Chalenge.
Webinar on Edge Computing using TFLite
A flutter app to check whether person wear a mask or not
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
TensorFlow Lite Image Classification Python Implementation
Andriod app integrating tflite model for object detection
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