Framework that optimizes TensorFlow models for on-device machine learning.
A repository showing non-trivial conversion processes and general explorations in TensorFlow Lite.
A website for benchmarking computer vision models on smartphones.
How to design machine learning powered features. A good example: ML Kit Showcase App.
A tool for visualizing models.
How to measure model performance on Android and iOS.
A repository refactors and rewrites all the TensorFlow Lite Android examples which are included in the TensorFlow official website.
A collection of Tensorflow Lite Android example Apps in Kotlin, to show different kinds of kotlin implementation of the example apps
An Android-based app to profile TensorFlow Lite models and measure its performance on smartphone.
Learn how to design human-centered AI products.
2019-10-01 - By Anirudh Koul (), Siddha Ganju (), and Meher Kasam ().
2019-12-01 - By Pete Warden () and Daniel Situnayake ().
2021-12-01 (early access) - By Laurence Moroney ().
2020-10-01 - By Laurence Moroney ().
2019-10-01 - By Anirudh Koul (), Siddha Ganju (), and Meher Kasam ().
2019-12-01 - By Pete Warden () and Daniel Situnayake ().
2020-03-01 Raspberry Pi for Computer Vision ( | ) - By the PyImageSearch Team: Adrian Rosebrock (), David Hoffman, Asbhishek Thanki, Sayak Paul (), and David Mcduffee.
2020-04-06 : Build scalable real-world projects to implement end-to-end neural networks on Android and iOS () - By Anubhav Singh () and Rimjhim Bhadani ().
2020-03-01 Raspberry Pi for Computer Vision ( | ) - By the PyImageSearch Team: Adrian Rosebrock (), David Hoffman, Asbhishek Thanki, Sayak Paul (), and David Mcduffee.
2019-10-01 - By Anirudh Koul (), Siddha Ganju (), and Meher Kasam ().
2020-04-06 : Build scalable real-world projects to implement end-to-end neural networks on Android and iOS () - By Anubhav Singh () and Rimjhim Bhadani ().
2020-10-01 - By Laurence Moroney ().
2021-12-01 (early access) - By Laurence Moroney ().
2020-07-25 (GDG Kolkata meetup).
2020-03-01 Raspberry Pi for Computer Vision ( | ) - By the PyImageSearch Team: Adrian Rosebrock (), David Hoffman, Asbhishek Thanki, Sayak Paul (), and David Mcduffee.
2021-10-06 (Hacktoberfest 2021)
Coursera course by Laurence Moroney (@lmoroney).
2020-04-01 (TF Dev Summit 2020).
2019-11-08 - By Brandon Satrom.
2020-04-06 : Build scalable real-world projects to implement end-to-end neural networks on Android and iOS () - By Anubhav Singh () and Rimjhim Bhadani ().
2020-04-14 - By Khanh LeViet.
2021-06-16
2019-10-29 .
Udacity course by Daniel Situnayake (@dansitu), Paige Bailey (@DynamicWebPaige), and Juan Delgado.
2019-10-31 .
2020-04-06 : Build scalable real-world projects to implement end-to-end neural networks on Android and iOS () - By Anubhav Singh () and Rimjhim Bhadani ().
2021-11-09
2021-09-27
2020-04-17 - By Khanh LeViet and Luiz Gustavo Martins.
2019-10-01 - By Anirudh Koul (), Siddha Ganju (), and Meher Kasam ().
2020-08-08 .
2018-04-18 .
2020-03-11 (TF Dev Summit 2020).
2019-10-31 .
2019-08-05 - By the TensorFlow team.
2019-10-31 .
A series of edX courses created by Harvard in collaboration with Google. Instructors - Vijay Janapa Reddi, Laurence Moroney, and Pete Warden.
2019-12-01 - By Pete Warden () and Daniel Situnayake ().
2020-03-01 Raspberry Pi for Computer Vision ( | ) - By the PyImageSearch Team: Adrian Rosebrock (), David Hoffman, Asbhishek Thanki, Sayak Paul (), and David Mcduffee.
2018-07-13 - By Sara Robinson, Aakanksha Chowdhery, and Jonathan Huang.
2018-03-30 - ) - By Laurence Moroney.
2020-04-20 - By Khanh LeViet.
2018-06-11 - - By Pete Warden.
2020-12-29 - By Nitin Tiwari.
2019-02-08 - A talk with (Kotlin) sample code.
2019-10-01 - A tutorial with material design (Kotlin) sample - recognize, identify Language and translate text from live camera with ML Kit for Firebase.
2018-08-07 .
2019-03-13 .
2019-02-09 - A blog post with a sample code.
2019-02-09 - A blog post with a sample code.
2019-02-08 - A talk with (Kotlin) sample code.
2018-07-20 .
2018-05-22 .
2018-05-31 .
2018-07-28 .
2018-07-27 .
2019-10-01 - A tutorial with material design (Kotlin) sample - recognize, identify Language and translate text from live camera with ML Kit for Firebase.
Pretrained MobileNet v2 and v3 models.
Quantized and floating point variants.
Pre-trained on COCO, KITTI, AVA v2.1, iNaturalist Species datasets.
Set "Model format = TFLite" to find TensorFlow Lite models.
With official Android and iOS examples.
Official TensorFlow models.
Makes mobile development easier (Android sample code).
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\.
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
Create your custom image & text classification models easily in a few lines of code. See below the Icon Classifier for a tutorial by the community.
Provides a standard for model descriptions which also enables Code Gen and Android Studio ML Model Binding.
It is finally here! Currently limited to transfer learning for image classification only but it's a great start. See the official Android sample code and another one from the community (Blog | Android).
Edge hardware by Google. Coral Edge TPU examples.
Created by @EdgeImpulse to help you to train TensorFlow Lite models for embedded devices in the cloud.
A cross platform (mobile, desktop and Edge TPUs) AI pipeline by Google AI. (PM Ming Yong) | MediaPipe examples.
Provides a dart API similar to the TensorFlow Lite Java API for accessing TensorFlow Lite interpreter and performing inference in flutter apps. tfliteflutter on pub.dev.