Top 39 tensorflow-lite open source projects

Visualizer for neural network, deep learning, and machine learning models

🔥🔥🔥色情图片离线识别，基于TensorFlow实现。识别只需20ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，该模型文件可用于iOS、java、C++等平台

DELTA is a deep learning based natural language and speech processing platform.

Community gathering point for Google Coral dev board and dongle knowledge.

Tensorflow Lite for React Native (now just support ios)

📌This repo contains the kotlin implementation of TensorflowLite Example Android Apps🚀

TensorFlow Lite Flutter Helper Library

🙋‍♂️Use Body Pose Estimation to perform pose matching on Android

Model and Android app for sketch recognition using Google's quickdraw dataset

Number recognition with MNIST on Raspberry Pi Pico + TensorFlow Lite for Microcontrollers

MRuby binding for TensorFlow Lite

Python TFLite scripts for detecting objects of any class in an image without knowing their label.

Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.

物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)

How to create Selfie2Anime from tflite model to Android.

Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

How to run a Keras model on Android using Tensorflow API.

End to end training MNIST image classifier with tf.Keras, convert to TFLite and deploy to Android

Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

TensorFlow binding library for VA Smalltalk

Realtime face recognition with Flutter

TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS

quick and dirty benchmark for TFLite gles delegate on iOS

Agro Doc is basically an app that will help farmers easily pinpoint their crop diseases using their smartphones. The app uses a pre trained tensorflow model to identify issues and then suggest possible cures for the crop infections/diseases. #AndroidDevChallenge

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

This repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1

quick and dirty inference time benchmark for TFLite gles delegate

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

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

Face and iris detection for Python based on MediaPipe

Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC

Age + Gender Estimation on Android with TensorFlow Lite

OpenVisionAPI server

A lightweight face-recognition toolbox and pipeline based on tensorflow-lite

Run object detection on edge devices using Tensorflow Lite

An example Android application using TensorFLow Lite is available on Tensorflow github, Creating a project directory in tensorflow/tensorflow/contrib/lite/ , which is builted on Android studio 3.0.I have download the model of tflite format and complie the libtensorflowlite_jni.so and libtensorflowlite.jar

TensorFlow Lite Model Makerで物体検出を行うハンズオン用資料です(Hands-on for object detection with TensorFlow Lite Model Maker)

The challenge projects for Inferencing machine learning models on iOS