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.
Quantization of Models : Post-Training Quantization(PTQ) and Quantize Aware Training(QAT)
This project implements gesture recognition using accelerometer and gyroscope data, leveraging TensorFlow and Keras for deep learning models. The trained model is then converted to TensorFlow Lite for deployment on edge devices.
This repo represents our machine learning project Image Description which is used to generate a description of an image based on activities and objects detected in the image.
Aplikasi Berbasis Android untuk Mengklasifikasikan Spesies Ikan Cakalang dan Tongkol
This Flutter project uses the flutter_tflite and image_picker packages to implement an eye flu detection application.
Running Tensorflow Lite runtime in Python on Raspberry Pi Zero and Zero W
MiniProject, a Flutter-based machine learning internship project, uses PoseNet for real-time posture detection. Employing the `tflite_flutter` package, it delivers instant feedback on user posture. Streamlined dependencies like `camera` and `image` enhance the app's efficiency in assessing and improving posture.
I am currently developing android applications that could perform deep learning based object detection tasks. I will upload all the apps developed in the repository
This is a machine learning based app which can recognize moods of people.
Simple Object detector flutter experiment to help blind people
NTU Biophotonics and Bioimaging Lab dairy cow face monitoring project. Metric learning experiment.
implementation tflite model leaves image classification fix_model branch last update
ML Bugs Classifier is an android app published on Google Playstore which uses Tensorflow Lite (.tflite) model to classify insect insect images as per their scientific names. This is meant as a demonstration for model deployment
First Tech Challenge 2022-2023 (SBW3)
Tflite implementation on java android
Sibi image classification based on 27 class
Alert police and switch off ATM upon finding the emotion “fear” on user face
Pipeline for mask detection over a Pi camera video feed.
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