×

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.

Uploaded Mon Mar 31 21:09:59 2025
md5 checksum 6d61021b0138d2a25b80f41db906f26a
arch x86_64
build py310h00e6091_1
build_number 1
constrains pytorch >=1.4,<1.7
depends attrs, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, numpy >=1.21.2,<2.0a0, packaging, protobuf >=3.1.0, python >=3.10,<3.11.0a0, scipy, six >=1.1.0, sympy, tqdm
license BSD-3-Clause
license_family BSD
md5 6d61021b0138d2a25b80f41db906f26a
name coremltools
platform linux
sha1 a30fcb70b5de37b286dad4c26f884096edc3a1a3
sha256 a20faf2e8dcbf3bf9152455b4db5ceacb883f0f24fe3a3cd084f2a9b2a4c4609
size 3261928
subdir linux-64
timestamp 1640811834063
version 4.1