coremltools
[](https://gitlab.com/coremltools1/coremltools/-/pipelines?page=1&scope=branches&ref=main) [](#) [](#) [Core ML Tools](https://apple.github.io/coremltools/docs-guides/source/overview-coremltools.html) =======================  Use [Core ML Tools](https://apple.github.io/coremltools/docs-guides/source/overview-coremltools.html) (*coremltools*) to convert machine learning models from third-party libraries to the Core ML format. This Python package contains the supporting tools for converting models from training libraries such as the following: * [TensorFlow 1.x](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf) * [TensorFlow 2.x](https://www.tensorflow.org/api_docs) * [PyTorch](https://pytorch.org/) * Non-neural network frameworks: * [scikit-learn](https://scikit-learn.org/stable/) * [XGBoost](https://xgboost.readthedocs.io/en/latest/) * [LibSVM](https://www.csie.ntu.edu.tw/~cjlin/libsvm/) With coremltools, you can: * Convert trained models to the Core ML format. * Read, write, and optimize Core ML models. * Verify conversion/creation (on macOS) by making predictions using Core ML. After conversion, you can integrate the Core ML models with your app using Xcode. ## Install The latest stable version is available from https://pypi.org/project/coremltools/ To install it use `pip` or the Python package manager of your choice. ```shell pip install coremltools ``` ## Core ML [Core ML](https://developer.apple.com/documentation/coreml) is an Apple framework to integrate machine learning 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. Core ML optimizes on-device performance by leveraging the CPU, GPU, and Neural Engine while minimizing its memory footprint and power consumption. 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. ## Resources To install coremltools, see [Installing Core ML Tools](https://apple.github.io/coremltools/docs-guides/source/installing-coremltools.html). For more information, see the following: * [Release Notes](https://github.com/apple/coremltools/releases/) * [Guide and examples](https://apple.github.io/coremltools/docs-guides/index.html) * [API Reference](https://apple.github.io/coremltools/index.html) * [Core ML Specification](https://apple.github.io/coremltools/mlmodel/index.html) * [Building from Source](BUILDING.md) * [Contribution Guidelines](CONTRIBUTING.md)