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 |