User Experience on mobile might not be great yet, but I'm working on it.

Your first time on this page? Allow me to give some explanations.

Awesome TensorFlow Lite

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: Dec. 5, 2020, 3:08 a.m.

Thank you margaretmz & contributors
View Topic on GitHub:
margaretmz/awesome-tensorflow-lite

Search for resources by name or description.
Simply type in what you are looking for and the results will be filtered on the fly.

Further filter the resources on this page by type (repository/other resource), number of stars on GitHub and time of last commit in months.

What is new

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

58
16
15d
Apache-2.0

An Open Source Machine Learning Framework for Everyone

151.07K
83.4K
2d
Apache-2.0

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

61
19
1y 7m
Apache-2.0

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

5
1
5m
n/a

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

9.79K
1.84K
20d
Apache-2.0

TCS humAIn

9
0
1y 79d
n/a

Models and examples built with TensorFlow

67.47K
43K
2d
Apache-2.0

Magenta: Music and Art Generation with Machine Intelligence

16.03K
3.27K
4d
Apache-2.0

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

5.64K
957
4m
MIT

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

2.14K
356
31d
n/a

Segmentation & Style Transfer

14
2
11d
Apache-2.0

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

196
33
5m
Apache-2.0

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.

15.94K
2.95K
8d
MPL-2.0

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

1.32K
243
16d
Apache-2.0

TensorFlow Lite models

TensorFlow models

Models and examples built with TensorFlow

67.47K
43K
2d
Apache-2.0

Ideas and Inspiration

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

67
11
19d
Apache-2.0

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.

9.79K
1.84K
20d
Apache-2.0

TensorFlow Lite Flutter Plugin

91
26
45d
Apache-2.0

@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

12.23K
1.5K
3d
MIT

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

64
5
42d
n/a

Profile your Tensorflow Lite model on-device

8
0
31d
Apache-2.0

Blog posts

Books

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

Videos

Podcasts

MOOCs