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Core ML is an Apple framework to integrate machine learning models into your app. Core ML provides a unified representation for all models.

copied from cf-staging / coremltools

Installers

  • linux-64 v4.1
  • osx-64 v4.1

conda install

To install this package run one of the following:
conda install conda-forge::coremltools

Description

Core ML is an Apple framework to integrate machine learning models into your app.

Use the coremltools Python package to convert models from third-party training libraries such as TensorFlow and PyTorch to the Core ML format. You can then use Core ML to integrate the models into your app.

Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to fine-tune models, all on the user’s device. Running a model strictly on the user’s device removes any need for a network connection, which helps keep the user’s data private and your app responsive.

Core ML optimizes on-device performance by leveraging the CPU, GPU, and Neural Engine while minimizing its memory footprint and power consumption.


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