Compile and run the model for the Edge TPU

This is a series of demolition repositories that use the Tensorflow.js Task API to perform browser-side inference on object detection models created with Tensorflow Lite Model Maker.

An end-to-end speech recognition system with Wavenet. Built using C++ and python.

Bilgisayar Görüntüsü (Computer Vision) ve Evrişimsel Sinir Ağları (CNN) kullanarak parça ayrımı yapabilmek. Tensorflo Lite Model ve Nesne Algılama (Object Detection) Modelleri de içermektedir.

Implementation of Tensorflow(ML Framework) and making it as an app.

Personnal project : Hand Tracking with OpenCV and MediaPipe (with Tensorflow LITE) using your webcam

Metadata provides essential information about the model, making it easier for others to understand, integrate, and use your model in various applications.

This repository contains code to deploy a tensorflow model into an android app

MSc Thesis about Design of an IT system based on Deep Learning for EEG artifact detection with BrainCapture.

Senior Design - Computer Vision Enabled Automatic Pooper Scooper

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.

The backend of a chatbot system was developed using NLP techniques to help students to present their concerns about university works & get solutions in real time

Binary classification model developed using mobilenet_v2 pretrained model to classify whether cassava leaves are healthy or not.

Processing mobile devices signal data and generating a machine learning model using deep learning to predict link failure instances using Keras and Tensorflow Lite.

Simple image classification (persons, animals, other) on raspberry pi used custom model tflite (output to terminal)

Simple image classification (persons, animals, other) on raspberry pi used custom model tflite (output to terminal) dividing image into 4 parts using OpenCV and TensorFlow Lite

Object-Detection-with-Voice-Feedback-using-Raspberry-Pi-4-and-Bullseye-OS

Image classification (persons, animals, other) on raspberry pi from pi-camera (with cycle while) used custom tflite model (output to terminal)

A Python package to simplify the deployment process of exported Teachable Machine models into different Robotics, AI and IoT controllers such as: Raspberry Pi, Jetson Nano and any other SBCs using TensorFlowLite framework.