Awesome

E2E TFLite Tutorials

We would love your help! You can help by creating a TensorFlow Lite (tflite/TFLite) model ready for implementation, add a mobile app idea that needs a tflite model created, or write an end-to-end tutorial with sample code.

This is also where you can seek help from the community.

Project ideas (help needed!)

If you are interested in helping out, take a look at the potential projects below and assign an corresponding issue to yourself from the repo issue list.

Once you form a project team, move the idea to the "in progress" section below, create a new repo and link to it.

• YOLO - overview.
• Classify pose - overview (an example use-case can be found here).
• A mobile application (preferably Android/iOS) demonstrating optical character recognition (refer to this Colab Notebook to see how this is done in Python).
• A mobile application (preferably Android/iOS) demonstrating several text-to-speech models as shown in this repository.

Here are some more details on how exactly you can help:

• Generate ideas
• Create tflite model(s)
• Create Colab Notebook(s) demonstrating the model creation process along with running inference in Python
• Publish tflite model(s) optional
• Develop Android app(s) to demonstrate the model(s)
• Develop iOS app(s) to demonstrate the model(s)

The tutorials listed below would give you a good idea of the afore-mentioned pointers. The Contribution Guidelines provide detailed instructions on how you can contribute.

End-to-end tutorials (in progress)

Take a look at the in progress projects to see what it's like to work on a project.

• DeepSpeech - a very popular ASR framework - project repo.
• Enhanced super res GAN - project repo.
• Speech Command - overview.

End-to-end tutorials (completed)

Once a project has been completed, please open a PR to awesome-tfite to add the links of the tflite model, sample code and tutorials.

• U-GAT-IT (Selfie <-> Anime) - project repo.
• SPICE (Pitch Detection) - Project repo - Medium article.
• How to Create a Cartoonizer with TensorFlow Lite - project repo, blog post.
• Optimizing MobileDet for Mobile Deployments - Colab Notebook, article.
• Training custom object detectors and converting them to TFLite - project repo. This repository shows how to train a custom detection model with the TFOD API (TF2 and TF1), optimize it with TFLite, and perform inference with the optimized model.
• Create Artistic Effect by Stylizing the Image Background - Part I | Part II | Part III | Code Repository.
• Text detectors in TensorFlow Lite - Converting CRAFT to TFLite: A Guide to PyTorch-TFLite Conversion | A Battle of Text Detectors for Mobile Deployments: CRAFT vs. EAST.
• OCR TFLite Models - Project Repository | End-to-End OCR Notebook.
• Sound classification - Overview | Project repo | Tutorial.
• MIRNet TFLite models for low-light image enhancement - project repository | TFLite models on TF Hub | MIRNet Flutter App Repository.
• Zero-DCE TFLite models for low light image enhancement - project repository | TFLite models on TF Hub
• TTS TFLite Models (Tacotron2, FastSpeech2, MelGAN, MB-MELGAN, PWGAN) - project repo.
• Boundless model for image extrapolation - Colab Notebook | Models on TF-Hub.
• Pose Classification based Video Game Control using TensorFlow Lite - Project Repository by Nitin Tiwari.

Contact the admins

This should be done via GitHub issues. Only use it when you have something relevant to discuss otherwise the issues will be automatically closed.