Facebook AI Performance Evaluation Platform

Simple Image classification app using Keras and Flutter to classify whether the image contains a dog or bird in realtime

A flower detector which can detect a small amount of flowers only. Application is designed through flutter for Android and iOS.

Deploy TensorFlow Regression Model in Android — TF Lite

Quantify the tflite for model compression

Flutter-based cross-platforms mobile application to streamline Lateral Flow Tests (LFTs) processing and management by forcing as minimum user interaction as possible and utilizing lightweight TFLite model.

TFLite utils for convert from keras model and test tflite model.

Tensorflow to TFLite Conversion for Model Personalization

Homeland to test your Tensorflow models using tflite

Preprocessing my fall detection dataset using data standardisation and sliding windows, and splitting this data into train/validation/test sets. Modelling performed on PyTorch using LSTM and CNN networks. The final models were exported to `.tflite` files to be run on a mobile phone. The best performing model was the ResNet152 with 92.8% AUC.

Develop ML models for image classification, then convert those models into the TF-Lite file format, which can be embedded on Android and iOS.

Aplicando um modelo treinado juntamente com o Flutter para classificar objetos. Foi muito legal utilizar o tflitev2

Integrating OpenCV with Android

tensorflowLiteDetection2D: Classifier detector implementation with Tensorflow Lite 2D, Python API, VGG16, pre and post-processed video broadcast via YARP. Calculation and emission of detections and coordinates.

Image Recognition App

Multivariate time series prediction using LSTM using Tensorflow, Keras and TFLite

A real-time application of the LIGHT-SERNET model

DL-projects