Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

This repository contains the trained models and some audio samples for the tPLCnet.

Iranian debit card (credit card) real-time scanner using Deep Learning and TensorFlow Lite for Android.

TensorFlow Quantization Example, for TensorFlow Lite

Parse TF-Lite Model File in C++

This repository, "Autonomous Driving System On Various Platforms", details the exploration and implementation of autonomous driving systems across platforms such as AirSim, Android, Raspberry Pi 4, and Nvidia's Jetson Nano, utilizing Lidar, image processing, and machine learning technologies.

A real-time object detection model on Raspberry Pi 4

Machine learning algorithms for SBC.

Vite, TypeScript, UniCli, Vue3. RealTime Human body posture detection in the WeChat MiniProgram, supporting PoseNet, MoveNet, BlazePose models. Support WeChat front and rear camera switching, FPS callback, frame-by-frame detection result callback

Tools and experiments for converting Human Activity Recognition (HAR) models to TensorFlow Lite for efficient on-device inference on mobile and wearable devices.

In this repository, you will receive information (notebooks) of TensorFlow model optimization using TensorRT and TF-Lite. You will be able to: Understand the fundamentals of optimization using TF-TRT and TF-Lite, deploy deep learning models by reduced precision (FP32, FP16 and INT8) on the inference stage and calibrate the weights

Smart home access control system hosted on a single-board computer. It detects people or vehicles using a pre-trained object detection model, notifies users in near real time with images, and allows remote access control and lighting management via a web-based application with dynamic scheduling.

A Scalable CAPTCHA solving Solution using CNN's

Android application for Herbalens, Bangkit Acadey 2023 Product Based Capstone Project

Android sms spam detection app

TF lite is for ML inside android with no loss in accuracy.

Third Submission in Dicoding Machine Learning Path

Tomato leaf disease prediction

Smart Trunk Opener based on radar data using time series predection AI

Applied Machine Learning Intermediate Dicoding, last update 24 March 2025