TensorFlow Lite
67 items from margaretmz/awesome-tensorflow-lite ★1,394
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Model Maker tensorflow.org
A transfer learning library that simplifies the process of training, evaluation and deployment for TensorFlow Lite models (support: Image Classification, Object Detection, Text Classification, BERT Question Answer, Audio Classification, Recommendation etc.; API reference).
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Introduction to TensorFlow Lite udacity.com
Udacity course by Daniel Situnayake (@dansitu), Paige Bailey (@DynamicWebPaige), and Juan Delgado.
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TensorFlow Hub tfhub.dev
Set "Model format = TFLite" to find TensorFlow Lite models.
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Performance measurement tensorflow.org
How to measure model performance on Android and iOS.
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TensorFlow Lite models tensorflow.org
With official Android and iOS examples.
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TensorFlow Lite for Microcontrollers tensorflow.org
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Pretrained models tensorflow.org
Quantized and floating point variants.
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Model Metadata tensorflow.org
Provides a standard for model descriptions which also enables Code Gen and Android Studio ML Model Binding.
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From TensorFlow to ML Kit: Power your Android application with machine learning speakerdeck.com
A talk with Android (Kotlin) sample code.
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TinyML shop.oreilly.com
By Pete Warden (@petewarden) and Daniel Situnayake (@dansitu).
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Complete Bundle pyimagesearch.com
| TOC) - By the PyImageSearch Team: Adrian Rosebrock (@PyImageSearch), David Hoffman, Asbhishek Thanki, Sayak Paul (@RisingSayak), and David Mcduffee.
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Practical Deep Learning for Cloud, Mobile, and Edge practicaldeeplearning.ai
By Anirudh Koul (@AnirudhKoul), Siddha Ganju (@SiddhaGanju), and Meher Kasam (@MeherKasam).
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Why the Future of Machine Learning is Tiny petewarden.com
By Pete Warden.
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The People + AI Guide book pair.withgoogle.com
Learn how to design human-centered AI products.
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter packtpub.com
Build scalable real-world projects to implement end-to-end neural networks on Android and iOS (GitHub) - By Anubhav Singh (@xprilion) and Rimjhim Bhadani (@Rimjhim28).
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ML Kit on Android 4: Landmark Detection medium.com
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ML Kit on Android 1: Intro medium.com
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ML Kit on Android 2: Face Detection medium.com
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ML Kit on Android 3: Barcode Scanning medium.com
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Flutter + MLKit: Business Card Mail Extractor medium.com
A blog post with a Flutter sample code.
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YOLOv3 to TensorFlow Lite Conversion medium.com
By Nitin Tiwari.
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Material design guidelines for ML material.io
How to design machine learning powered features. A good example: ML Kit Showcase App.
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AI and Machine Learning for Coders learning.oreilly.com
By Laurence Moroney (@lmoroney).
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AI and Machine Learning On-Device Development learning.oreilly.com
(early access) - By Laurence Moroney (@lmoroney).
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Announcement of the new converter groups.google.com
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.
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Android Support Library github.com
Makes mobile development easier (Android sample code).
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Hexagon delegate github.com
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.
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TensorFlow models github.com
Official TensorFlow models.
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MobileNet github.com
Pretrained MobileNet v2 and v3 models.
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