Contents

coremltools 9.0

0

Community Tools for Core ML

Community Tools for Core ML

Stars: 5155, Watchers: 5155, Forks: 757, Open Issues: 441

The apple/coremltools repo was created 8 years ago and the last code push was 2 weeks ago.
The project is extremely popular with a mindblowing 5155 github stars!

How to Install coremltools

You can install coremltools using pip

pip install coremltools

or add it to a project with poetry

poetry add coremltools

Package Details

Author
Apple Inc.
License
BSD
Homepage
https://github.com/apple/coremltools
PyPi:
https://pypi.org/project/coremltools/
GitHub Repo:
https://github.com/apple/coremltools

Classifiers

  • Scientific/Engineering
  • Software Development
No  coremltools  pypi packages just yet.

Errors

A list of common coremltools errors.

Code Examples

Here are some coremltools code examples and snippets.

GitHub Issues

The coremltools package has 441 open issues on GitHub

  • Support Python 3.14
  • Fix fuse_stack_split pass crash with multi-layer LSTM
  • CoreMLTools PyTorch converter fails on rotary-attention einsum (BeatThis model) with rank/perm mismatch
  • LSTM conversion error
  • Cannot convert PyTorch models with states
  • Support PyTorch's masked_scatter operator.
  • Fix excessive memory allocation for static-shape attention ops
  • Fix typing for Builder.placeholder
  • Support PyTorch 2.8
  • Large output errors when converting MobileNetV3 in FP16
  • Support PyTorch 2.9
  • Can the decode of transformer be accelerated by NPU
  • Support latest XGBoost version
  • NeuralNetwork and MLprogram lead to very different results
  • PReLU rank 3 or rank 5 input requires all values of alpha to be the same?

See more issues on GitHub

Related Packages & Articles

transformers 5.2.0

Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

thinc 9.1.1

A refreshing functional take on deep learning, compatible with your favorite libraries

nlp 0.4.0

HuggingFace/NLP is an open library of NLP datasets.

keras 3.13.2

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. The core data structures of Keras are layers and models. The philosophy is to keep simple things simple, while allowing the user to be fully in control when they need to (the ultimate control being the easy extensibility of the source code via subclassing).

tensorflow-hub 0.16.1

TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.