Wrappers for scikit-learn, PyTorch and Tensorflow models with OpenVINO optimization
Project description
OpenVino training kit
Wrappers for scikit-learn, PyTorch and Tensorflow models with OpenVINO optimization.
About
This module provides easy-to-use wrappers for training, evaluating, and exporting classical (scikit-learn) and deep learning (PyTorch, TensorFlow) models optimized for OpenVINO, targeting local AI PCs and edge deployment.
System Requirements
- Operating System: Linux (Ubuntu 18.04+), Windows 10/11, Windows Server 2019+
- CPU: x86-64 (Intel or AMD)
- Python: 3.8, 3.9, 3.10, 3.11
- RAM: 8GB+ recommended
- GPU: Optional (not required)
- Note: Intel Extension for PyTorch (IPEX) is only supported on Linux/Windows with x86-64 CPUs. On MacOS, some features may not be available.
Installation
pip install ov-training-kit
Usage
For detailed usage instructions and examples, please refer to the README files inside the src/sklearn, src/pytorch and src/tensorflow 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
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