TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
APACHE-2.0 License
tflitego provide a simple and clear solution to use TensorFlow lite in Go. Our objective is provi...
A performant and modular runtime for TensorFlow
Tensorflow based deep-learning library.
Implementation of UNet by Tensorflow Lite. Semantic segmentation without using GPU with Raspberry...
🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targe...
Convert TensorFlow Lite models (*.tflite) to ONNX.
This is a repo for training and implementing the mobilenet-ssd v2 to tflite with c++ on x86 and a...
Models and examples built with Swift for TensorFlow
Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
TensorFlow Lite Flutter plugin provides an easy, flexible, and fast Dart API to integrate TFLite ...
High-level Deep Learning Framework written in Kotlin and inspired by Keras
Age + Gender Estimation on Android with TensorFlow Lite
Pocket AutoML: Tutorial for Creating an Android App for Image Classification with Deep Learning
📌This repo contains the kotlin implementation of TensorflowLite Example Android Apps🚀