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Awesome TensorFlow Lite

TensorFlow Lite models, samples, tutorials, tools and learning resources.

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Last Update: None

Thank you margaretmz & contributors
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margaretmz/awesome-tensorflow-lite

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What is new

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.

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An Open Source Machine Learning Framework for Everyone

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MLIR-based and enables conversion of new classes of models such as Mask R-CNN and Mobile BERT etc., supports functional control flow and better error handling during conversion. Enabled by default in the nightly builds.

image & text classification models easily in a few lines of code. See below the Icon Classifier for a tutorial by the community.

Android sample code and another one from the community (Blog | Android).

Computer vision

Detecting cancers on mobile phones

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An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.

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MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

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TCS humAIn

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Models and examples built with TensorFlow

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Magenta: Music and Art Generation with Machine Intelligence

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Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

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MIT

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

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Segmentation & Style Transfer

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Blog post (includes the TFLite conversion process) | MobileDet is from University of Wisconsin-Madison and Google and the blog post is from the Community |

Text

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

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Speech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, Korean, Chinese and Easy to adapt for other languages)

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This repository is a collection of TTS Models in TFLite

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Recommendation

TensorFlow examples

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TensorFlow Lite models

TensorFlow models

Models and examples built with TensorFlow

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Ideas and Inspiration

For project tracking of the Mobile ML WG: E2E TFLite tutorials and sample app ideas etc.

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ML Kit examples

Plugins and SDKs

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

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TensorFlow Lite Flutter Plugin

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@EdgeImpulse to help you to train TensorFlow Lite models for embedded devices in the cloud.

@fritzlabs that makes mobile development easier: with pre-trained ML models and end-to-end platform for building and deploying custom trained models.

Helpful links

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

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MIT

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

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Profile your Tensorflow Lite model on-device

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Examples of Tensorflow Lite on Android

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Blog posts

Books

TOC) - By the PyImageSearch Team: Adrian Rosebrock (@PyImageSearch), David Hoffman, Asbhishek Thanki, Sayak Paul (@RisingSayak), and David Mcduffee.

Videos

Podcasts

MOOCs