Pytorch to Keras/Tensorflow/TFLite conversion made intuitive

Mobile app that detects the breast cancer disease using ML model and recommends some protocols for patient

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

This project automates trash sorting using a Raspberry Pi-controlled robotic arm, leveraging TensorFlow Lite and OpenCV for real-time classification of paper, plastic, and metal waste.

Computer Vision Project using Tensorflow to classify different diseases that appears on the plants' leaves into three categories; Healthy, Powdery and Rust with a web app to be used easily.

On-device customizable face recognition in Android with FaceNet and an embedded vector database

Visualizer for neural network, deep learning and machine learning models

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Android On_device 1:1 Face Recognition And Alive Detect；1:N & M:N Face Search SDK 。 🧒 离线版设备端Android1:1人脸识别动作活体检测，静默活体检测 以及1:N M:N 人脸搜索 SDK 封装

an architecture for neural network inference in real-time audio applications

This repository utilizes TensorFlow Object Detection API for tomato leaf disease identification, including setup scripts, dataset preparation, model training, TensorFlow Lite conversion, and inference tools. It serves as a guide for efficient disease detection in agriculture.

Development guide for sign recognition on ESP32 using TensorFlowLite for implementation.

Emgu TF is a cross platform .Net wrapper for the Google Tensorflow library. Allows Tensorflow functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython.

DeepLearnHub: Empowering AI 🧠 Explore ResNet and VGG models with advanced preprocessing techniques. Includes our international conference paper. Join us in pushing the boundaries of deep learning!

🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration

Yocto layer for TensorFlow Lite interpreter with Python / C++.

🥘 MobileNetV2-FoodClassifier achieves 93.14% accuracy in image classification with web-scraped food images, offering deployment guidance for local and TensorFlow Lite conversion for mobile and edge devices.

🥘 MobileNetV2-FoodClassifier achieves 93.14% accuracy in image classification with web-scraped food images, offering deployment guidance for local and TensorFlow Lite conversion for mobile and edge devices.

NNtrainer is Software Framework for Training Neural Network Models on Devices.

Démo de quantization de modèle