TensorFlow Lite
67 items from margaretmz/awesome-tensorflow-lite ★1,394
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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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Tensorflow detection model zoo github.com
Pre-trained on COCO, KITTI, AVA v2.1, iNaturalist Species datasets.
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ML Kit and Face Detection in Flutter flatteredwithflutter.com
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The Future of ML is Tiny and Bright edx.org
A series of edX courses created by Harvard in collaboration with Google. Instructors - Vijay Janapa Reddi, Laurence Moroney, and Pete Warden.
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Edge Impulse edgeimpulse.com
Created by @EdgeImpulse to help you to train TensorFlow Lite models for embedded devices in the cloud.
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Device-based Models with TensorFlow Lite coursera.org
Coursera course by Laurence Moroney (@lmoroney).
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Coral Edge TPU coral.ai
Edge hardware by Google. Coral Edge TPU examples.
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ML Kit Translate demo codelabs.developers.google.com
A tutorial with material design Android (Kotlin) sample - recognize, identify Language and translate text from live camera with ML Kit for Firebase.
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On-device training in TensorFlow Lite blog.tensorflow.org
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Optical character recognition with TensorFlow Lite: A new example app blog.tensorflow.org
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What is new in TensorFlow Lite blog.tensorflow.org
By Khanh LeViet.
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Optimizing style transfer to run on mobile with TFLite blog.tensorflow.org
By Khanh LeViet and Luiz Gustavo Martins.
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How TensorFlow Lite helps you from prototype to product blog.tensorflow.org
By Khanh LeViet.
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On-device training blog.tensorflow.org
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).
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TensorFlow Model Optimization Toolkit — float16 quantization halves model size blog.tensorflow.org
By the TensorFlow team.
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Training and serving a real-time mobile object detector in 30 minutes with Cloud TPUs blog.tensorflow.org
By Sara Robinson, Aakanksha Chowdhery, and Jonathan Huang.
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Using TensorFlow Lite on Android blog.tensorflow.org
) - By Laurence Moroney.
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Getting Started with ML on MCUs with TensorFlow blog.particle.io
By Brandon Satrom.
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Talking Machine Learning with Hoi Lam anchor.fm
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AI benchmark ai-benchmark.com
A website for benchmarking computer vision models on smartphones.
