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Awesome TensorFlow Lite

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

Here you can see meta information about this topic like the time we last updated this page, the original creator of the awesome list and a link to the original GitHub repository.

Last Update: None

Thank you margaretmz & contributors
View Topic on GitHub:
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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Game

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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

Videos

Podcasts

MOOCs