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awesome-tensorflow-lite
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
https://github.com/margaretmz/awesome-tensorflow-lite
Last synced: 2 days ago
JSON representation
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Models with samples
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Computer vision
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- download
- Codelab
- Android
- Colab Notebook - Sign-Language-Detection) | Community |
- Colab Notebook - Sign-Language-Detection) | Community |
- download - classifier) \| [tutorial 1](https://medium.com/swlh/icon-classifier-with-tflite-model-maker-9263c0021f72) \| [tutorial 2](https://medium.com/@margaretmz/icon-classifier-android-app-1fc0b727f761) | Community |
- download
- download
- Paper - optimization/) | MobileDet is from University of Wisconsin-Madison and Google and the blog post is from the Community |
- (download) - License) | Community |
- download - cv4arvr/blazeface) | MediaPipe |
- FaceNet - Authentication-App) | Community |
- download - demo-hand-detection) | MediaPipe & Community |
- download - TFLite-Image-Segmentation) \| [Realtime](https://github.com/kshitizrimal/tflite-realtime-flutter) \| [Paper](https://arxiv.org/abs/1706.05587) | tf.org & Community |
- DeepLab V3 models - type=image-segmentation&publisher=sayakpaul) with Colab Notebooks | Community |
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Download - cv4arvr/hair-segmentation) | MediaPipe |
- Arbitrary image stylization
- models - style-transfer) \| [Android](https://github.com/margaretmz/segmentation-style-transfer/tree/master/android) \| [Tutorial](https://medium.com/google-developer-experts/image-background-stylizer-part-1-project-intro-d68c4547e7e3) | Community |
- download
- download - Game-Control-using-Pose-Classification-and-TensorFlow-Lite) | Community |
- Models on TF Hub - TFLite) \| [Original Paper](https://arxiv.org/pdf/2003.06792v2.pdf) \| [Flutter](https://github.com/sayannath/MIRNet-Flutter)| | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- U-GAT-IT - with-tflite) \| [Android](https://github.com/margaretmz/selfie2anime-with-tflite/tree/master/android) \| [Tutorial](https://medium.com/google-developer-experts/selfie2anime-with-tflite-part-1-overview-f97500800ffe) | Community |
- White-box CartoonGAN - model/cartoongan/dr/1)) | [Project repo](https://github.com/margaretmz/Cartoonizer-with-TFLite) \| [Android](https://github.com/margaretmz/Cartoonizer-with-TFLite/tree/master/android) \| [Tutorial](https://blog.tensorflow.org/2020/09/how-to-create-cartoonizer-with-tf-lite.html) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- YOLOv5 - v5-tflite-model) | Community |
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- TF Hub
- Dynamic range models - implementation-of-video-style-transfer-with-tensorflow-lite-models-9338a6d2a3ea) | Community |
- TF Hub - in-TensorFlow-Lite/blob/master/Boundless_TFLite.ipynb) \| [Original Paper](https://arxiv.org/pdf/2003.06792v2.pdf) | Community |
- Models on TF Hub
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- DeepLab V3 model - camerax-with-image-segmentation-android-project-d8656f35cea3) | Community |
- Flutter
- Flutter
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Text
- Android
- Android
- Download
- Paper - Conversion to TFLite](https://tulasi.dev/craft-in-tflite) \| [Blog2-EAST vs CRAFT](https://sayak.dev/optimizing-text-detectors/) \| [Models on TF Hub](https://tfhub.dev/tulasiram58827/lite-model/craft-text-detector/dr/1) \| Android (Coming Soon) | Community |
- Paper - model/east-text-detector/dr/1) \| [Conversion and Inference Notebook](https://colab.research.google.com/github/sayakpaul/Adventures-in-TensorFlow-Lite/blob/master/EAST_TFLite.ipynb) | Community |
- Paper - Conversion to TFLite](https://tulasi.dev/craft-in-tflite) \| [Blog2-EAST vs CRAFT](https://sayak.dev/optimizing-text-detectors/) \| [Models on TF Hub](https://tfhub.dev/tulasiram58827/lite-model/craft-text-detector/dr/1) \| Android (Coming Soon) | Community |
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Speech
- Reference
- Android
- Inference Notebook
- Inference - asr) | Community |
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Recommendation
- Dual-Encoder - device_recommendation_tflite) \| [Reference](https://blog.tensorflow.org/2020/09/introduction-to-tflite-on-device-recommendation.html) | tf.org & Community |
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Game
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Past announcements:
- Announcement of the new converter - [MLIR](https://medium.com/tensorflow/mlir-a-new-intermediate-representation-and-compiler-framework-beba999ed18d)-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\.
- Android Support Library - Makes mobile development easier ([Android](https://github.com/tensorflow/examples/blob/master/lite/examples/image_classification/android/EXPLORE_THE_CODE.md) sample code).
- Model Maker - Create your custom [image & text](https://github.com/tensorflow/examples/tree/master/tensorflow_examples/lite/model_maker) classification models easily in a few lines of code. See below the Icon Classifier for a tutorial by the community.
- On-device training - It is finally here! Currently limited to transfer learning for image classification only but it's a great start. See the official [Android](https://github.com/tensorflow/examples/blob/master/lite/examples/model_personalization/README.md) sample code and another one from the community ([Blog](https://aqibsaeed.github.io/on-device-activity-recognition) | [Android](https://github.com/aqibsaeed/on-device-activity-recognition)).
- Hexagon delegate - 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](https://blog.tensorflow.org/2019/12/accelerating-tensorflow-lite-on-qualcomm.html).
- Model Metadata - Provides a standard for model descriptions which also enables [Code Gen and Android Studio ML Model Binding](https://www.tensorflow.org/lite/inference_with_metadata/codegen).
- Model Metadata - Provides a standard for model descriptions which also enables [Code Gen and Android Studio ML Model Binding](https://www.tensorflow.org/lite/inference_with_metadata/codegen).
- Announcement of the new converter - [MLIR](https://medium.com/tensorflow/mlir-a-new-intermediate-representation-and-compiler-framework-beba999ed18d)-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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Model zoo
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TensorFlow Lite models
- MobileNet - Pretrained MobileNet v2 and v3 models.
- TensorFlow Lite models - With official Android and iOS examples.
- Pretrained models - Quantized and floating point variants.
- TensorFlow Hub - Set "Model format = TFLite" to find TensorFlow Lite models.
- Pretrained models - Quantized and floating point variants.
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TensorFlow models
- TensorFlow models - Official TensorFlow models.
- Tensorflow detection model zoo - Pre-trained on COCO, KITTI, AVA v2.1, iNaturalist Species datasets.
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ML Kit examples
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TensorFlow models
- ML Kit
- ML Kit Translate demo - A tutorial with material design [Android](https://github.com/googlecodelabs/mlkit-android/tree/master/translate) (Kotlin) sample - recognize, identify Language and translate text from live camera with ML Kit for Firebase.
- Computer Vision with ML Kit - Flutter In Focus
- Flutter + MLKit: Business Card Mail Extractor - A blog post with a [Flutter](https://github.com/DaemonLoki/Business-Card-Mail-Extractor) sample code.
- From TensorFlow to ML Kit: Power your Android application with machine learning - A talk with [Android](https://github.com/xebia-france/magritte) (Kotlin) sample code.
- Building a Custom Machine Learning Model on Android with TensorFlow Lite
- ML Kit and Face Detection in Flutter
- ML Kit on Android 4: Landmark Detection
- ML Kit on Android 3: Barcode Scanning
- ML Kit on Android 2: Face Detection
- ML Kit on Android 1: Intro
- Computer Vision with ML Kit - Flutter In Focus
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Plugins and SDKs
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TensorFlow models
- Edge Impulse - Created by [@EdgeImpulse](https://twitter.com/EdgeImpulse) to help you to train TensorFlow Lite models for embedded devices in the cloud.
- Coral Edge TPU - Edge hardware by Google. [Coral Edge TPU examples](https://coral.ai/examples/).
- MediaPipe - A cross platform (mobile, desktop and Edge TPUs) AI pipeline by Google AI. (PM [Ming Yong](https://twitter.com/realmgyong)) | [MediaPipe examples](https://mediapipe.readthedocs.io/en/latest/examples.html).
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Helpful links
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TensorFlow models
- AI benchmark - A website for benchmarking computer vision models on smartphones.
- Performance measurement - How to measure model performance on Android and iOS.
- Material design guidelines for ML - How to design machine learning powered features. A good example: [ML Kit Showcase App](https://github.com/firebase/mlkit-material-android).
- The People + AI Guide book - Learn how to design human-centered AI products.
- TensorFlow Lite for Microcontrollers
- Netron - A tool for visualizing models.
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Learning resources
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Blog posts
- Optical character recognition with TensorFlow Lite: A new example app
- YOLOv3 to TensorFlow Lite Conversion - By Nitin Tiwari.
- What is new in TensorFlow Lite - By Khanh LeViet.
- Optimizing style transfer to run on mobile with TFLite - By Khanh LeViet and Luiz Gustavo Martins.
- How TensorFlow Lite helps you from prototype to product - By Khanh LeViet.
- Getting Started with ML on MCUs with TensorFlow - By Brandon Satrom.
- TensorFlow Model Optimization Toolkit — float16 quantization halves model size - By the TensorFlow team.
- Training and serving a real-time mobile object detector in 30 minutes with Cloud TPUs - By Sara Robinson, Aakanksha Chowdhery, and Jonathan Huang.
- Why the Future of Machine Learning is Tiny - By Pete Warden.
- Using TensorFlow Lite on Android - By Laurence Moroney.
- https://blog.tensorflow.org/2021/06/easier-object-detection-on-mobile-with-tf-lite.html
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Books
- AI and Machine Learning On-Device Development - By Laurence Moroney ([@lmoroney](https://twitter.com/lmoroney)).
- AI and Machine Learning for Coders - By Laurence Moroney ([@lmoroney](https://twitter.com/lmoroney)).
- Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter - world projects to implement end-to-end neural networks on Android and iOS ([GitHub](https://github.com/PacktPublishing/Mobile-Deep-Learning-Projects)) - By Anubhav Singh ([@xprilion](https://github.com/xprilion)) and Rimjhim Bhadani ([@Rimjhim28](https://github.com/Rimjhim28)).
- Complete Bundle - of-contents-raspberry-pi-for-computer-vision/)) - By the PyImageSearch Team: Adrian Rosebrock ([@PyImageSearch](https://twitter.com/PyImageSearch)), David Hoffman, Asbhishek Thanki, Sayak Paul ([@RisingSayak](https://twitter.com/RisingSayak)), and David Mcduffee.
- TinyML - By Pete Warden ([@petewarden](https://twitter.com/petewarden)) and Daniel Situnayake ([@dansitu](https://twitter.com/dansitu)).
- Practical Deep Learning for Cloud, Mobile, and Edge - By Anirudh Koul ([@AnirudhKoul](https://twitter.com/AnirudhKoul)), Siddha Ganju ([@SiddhaGanju](https://twitter.com/SiddhaGanju)), and Meher Kasam ([@MeherKasam](https://twitter.com/MeherKasam)).
- TinyML - By Pete Warden ([@petewarden](https://twitter.com/petewarden)) and Daniel Situnayake ([@dansitu](https://twitter.com/dansitu)).
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Videos
- Contributing to TensorFlow Lite with Sunit Roy
- Android ML by Hoi Lam
- Easy on-device ML from prototype to production
- TensorFlow Lite: ML for mobile and IoT devices
- Keynote - TensorFlow Lite: ML for mobile and IoT devices
- TensorFlow Lite: Solution for running ML on-device
- TensorFlow model optimization: Quantization and pruning
- Inside TensorFlow: TensorFlow Lite
- TensorFlow Lite for Android (Coding TensorFlow)
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Podcasts
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MOOCs
- Introduction to TensorFlow Lite - Udacity course by Daniel Situnayake (@dansitu), Paige Bailey ([@DynamicWebPaige](https://twitter.com/DynamicWebPaige)), and Juan Delgado.
- Device-based Models with TensorFlow Lite - Coursera course by Laurence Moroney ([@lmoroney](https://twitter.com/lmoroney)).
- The Future of ML is Tiny and Bright - 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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Ideas and Inspiration
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TensorFlow models
- E2E TFLite Tutorials - Checkout this repo for sample app ideas and seeking help for your tutorial projects. Once a project gets completed, the links of the TensorFlow Lite model(s), sample code and tutorial will be added to this awesome list.
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Programming Languages
Categories
Sub Categories
Keywords
deep-learning
3
tensorflow-lite
2
machine-learning
2
perception
1
mobile-development
1
mediapipe
1
inference
1
graph-framework
1
graph-based
1
framework
1
computer-vision
1
calculator
1
c-plus-plus
1
audio-processing
1
android
1
tutorials
1
tflite-model
1
visualizer
1
tensorflow
1
pytorch
1
paddle
1
onnx
1
neural-network
1
ml
1
machinelearning
1
keras
1
deeplearning
1
darknet
1
coreml
1
caffe
1
ai
1
video-processing
1
stream-processing
1
pipeline-framework
1
colab-notebook
1