Showing 6 of 6 projects
Cross-platform framework for building customizable on-device machine learning pipelines for live and streaming media.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
An Android example project demonstrating TensorFlow integration for handwritten digit recognition using the MNIST dataset.
A lightweight Swift library for tensor calculations with TensorFlow-like APIs, enabling ML model inference.
A collection of Jupyter notebooks demonstrating TensorFlow Lite model quantization, conversion, and optimization techniques for deep neural networks.
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