awesome-tensorflow-lite

Why we included this project

Anyone shipping TensorFlow models to phones or edge devices will find this list worth a bookmark. It groups pretrained TFLite models by task, from image classification and detection to style transfer, text, and speech, and links each one to a working sample app, so you can see how a model actually behaves before you commit to it. Beyond the models, it collects the official model zoo, ML Kit examples, plugins and SDKs, plus learning material like blog posts, books, videos, and MOOCs. For someone new to TFLite, it's a fast way to map what's possible and pick a sample to clone; for a team that's been at it a while, it works as a reference for finding a specific model or integration pattern. It's a discovery resource, not something you deploy, but it's genuinely useful when scoping a mobile or edge ML project.