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.

Android TensorFlow Lite Machine Learning Example

The challenge projects for Inferencing machine learning models on iOS

A curated list of awesome TensorFlow Lite models, samples, tutorials, tools and learning resources.

Train and deploy machine learning models for mobile apps with Fritz AI.

High-performance stateful serverless runtime based on WebAssembly

MNIST with TensorFlow Lite on Android

Real-time portrait segmentation for mobile devices

DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps

Go binding for TensorFlow Lite

A repository that shares tuning results of trained models generated by Tensorflow. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. OpenVINO.

A collection of experiences utilizing machine learning models from Fritz AI

TensorFlow Lite Samples on Unity

💃 Pose estimation for iOS and android using TensorFlow 2.0

Real-time semantic image segmentation on mobile devices

YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving

A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..

GPU accelerated deep learning inference applications using TensorflowLite GPUDelegate / TensorRT

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

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

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

Curated way to convert deep learning model to mobile⚡️

the face demo on android

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

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

Instead use

Edge TPU samples.

Magic Wand using Arduino Nano 33 BLE Sense, powered by TensorFlow Lite for Microcontrollers and PlatformIO