Skip to main content

Wrappers for scikit-learn and PyTorch models with OpenVINO optimization

Project description

OpenVino training kit

Wrappers for scikit-learn and PyTorch models with OpenVINO optimization.

About

This module provides easy-to-use wrappers for training, evaluating, and exporting classical (scikit-learn) and deep learning (PyTorch) models optimized for OpenVINO, targeting local AI PCs and edge deployment.

Installation

pip install ov-training-kit

Usage

For detailed usage instructions and examples, please refer to the README files inside the src/sklearn and src/pytorch folders.


For questions, suggestions, or contributions, feel free to open an issue or pull

🎓 Credits & License

Developed as part of a GSoC

Authors

  • Leonardo Heim
  • Shivam Basia

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ov_training_kit-0.1.2.tar.gz (13.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ov_training_kit-0.1.2-py3-none-any.whl (15.3 kB view details)

Uploaded Python 3

File details

Details for the file ov_training_kit-0.1.2.tar.gz.

File metadata

  • Download URL: ov_training_kit-0.1.2.tar.gz
  • Upload date:
  • Size: 13.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for ov_training_kit-0.1.2.tar.gz
Algorithm Hash digest
SHA256 c558eba8a820bddcbd96bdb796c7eac71545161624f1719e42f6be71062ac860
MD5 515c1a05641960d1c9797f475f560754
BLAKE2b-256 0c9e36dd8512e0f104d993eec402947e352e56d928c7b9677a0050d5841d56c4

See more details on using hashes here.

File details

Details for the file ov_training_kit-0.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for ov_training_kit-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9a090c2b2e32f837b53f1f0e362aad9fa903461a4793f6b944f19f6fbf3cf203
MD5 6b88118fafa836bc7039d387d873d3ee
BLAKE2b-256 4cab8d840d5de030f7cca27dcaa0694f7a49a56c66e9dbd8daf2609ea9d6354f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page