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Awesome TensorFlow Lite

TensorFlow Lite is a set of tools that help convert and optimize TensorFlow models to run on mobile and edge devices. It's currently running on more than 4 billion devices! With TensorFlow 2.x, you can train a model with tf.Keras, easily convert a model to .tflite and deploy it; or you can download a pretrained TensorFlow Lite model from the model zoo.

This is an awesome list of TensorFlow Lite models with sample apps, helpful tools and learning resources -

• Showcase what the community has built with TensorFlow Lite
• Put all the samples side-by-side for easy reference
• Share knowledge and learning resources

Please submit a PR if you would like to contribute and follow the guidelines here.

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Contents

• Past announcements:
• Models with samples
  • Computer vision
    • Classification
    • Detection
    • Segmentation
    • Style Transfer
    • Generative
    • Post estimation
    • Other
  • Text
  • Speech
  • Recommendation
  • Game
• Model zoo
  • TensorFlow Lite models
  • TensorFlow models
• Ideas and Inspiration
• ML Kit examples
• Plugins and SDKs
• Helpful links
• Learning resources
  • Blog posts
  • Books
  • Videos
  • Podcasts
  • MOOCs

Past announcements:

Here are some past feature annoucements of TensorFlow Lite:

• Announcement of the new converter - 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.
• Android Support Library - Makes mobile development easier (Android sample code).
• Model Maker - 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.
• 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 sample code and another one from the community (Blog | Android).
• 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.
• Model Metadata - Provides a standard for model descriptions which also enables Code Gen and Android Studio ML Model Binding.

Models with samples

Here are the TensorFlow Lite models with app / device implementations, and references. Note: pretrained TensorFlow Lite models from MediaPipe are included, which you can implement with or without MediaPipe.

Computer vision

Classification

| Task | Model | App | Reference | Source | | ------------------------------- |-------------------------------------------------------------------------------------------------------------------------------------------------------------------| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------| | Classification | MobileNetV1 (download) | Android | iOS | Raspberry Pi | Overview | tensorflow.org | | Classification | MobileNetV2 | Recognize Flowers on Android Codelab | Android | TensorFlow team | | Classification | MobileNetV2 | Skin Lesion Detection Android | Community | | Classification | MobileNetV2 | American Sign Language Detection | Colab Notebook | Android | Community | | Classification | CNN + Quantisation Aware Training | Stone Paper Scissor Detection Colab Notebook | Flutter | Community | | Classification | EfficientNet-Lite0 (download) | Icon Classifier Colab & Android | tutorial 1 | tutorial 2 | Community |

Detection

| Task