tflite-support
ML model deployment tool
A toolkit to deploy machine learning models on mobile devices using the TensorFlow Lite framework
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
381 stars
24 watching
128 forks
Language: C++
last commit: 11 months ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | Tutorials and projects on building, deploying, and using TensorFlow Lite models for mobile applications | 133 |
| | An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. | 18,533 |
| | A collection of pre-trained machine learning models for use in web applications. | 14,180 |
| | An end-to-end platform for deploying production machine learning pipelines | 2,121 |
| | An end-to-end platform for building and deploying machine learning applications | 186,822 |
| | A repository to convert popular OCR models into TensorFlow Lite (TFLite) formats for efficient deployment on mobile devices. | 101 |
| | An app for profiling and optimizing the performance of TensorFlow Lite models on mobile devices | 27 |
| | A framework for designing and evaluating custom processor instructions to accelerate machine learning tasks on FPGAs. | 476 |
| | Provides tools and frameworks for deploying machine learning models in production environments | 73 |
| | An Android app repository showcasing various machine learning models and their implementations in Kotlin | 50 |
| | A tutorial project demonstrating how to create a Cartoonizer Android app using TensorFlow Lite models | 116 |
| | Provides an interface to TensorFlow Lite interpreter for machine learning inference in Flutter apps | 513 |
| | A Ruby-based framework for building and deploying machine learning models on various hardware platforms. | 506 |
| | Converts MIRNet model into TensorFlow Lite and TensorRT models for image enhancement | 130 |
| | An implementation of YOLOv5 object detection model in TensorFlow Lite format | 17 |