# 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
```bash
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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"description": "# OpenVino training kit\n\nWrappers for scikit-learn, PyTorch and Tensorflow models with OpenVINO optimization.\n\n## About\n\nThis 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.\n\n\n## System Requirements\n\n- **Operating System:** Linux (Ubuntu 18.04+), Windows 10/11, Windows Server 2019+\n- **CPU:** x86-64 (Intel or AMD)\n- **Python:** 3.8, 3.9, 3.10, 3.11\n- **RAM:** 8GB+ recommended\n- **GPU:** Optional (not required)\n- **Note:** Intel Extension for PyTorch (IPEX) is only supported on Linux/Windows with x86-64 CPUs. On MacOS, some features may not be available.\n\n## Installation\n\n```bash\npip install ov-training-kit\n```\n\n## Usage\n\nFor detailed usage instructions and examples, please refer to the README files inside the `src/sklearn`, `src/pytorch` and `src/tensorflow` folders.\n\n---\n\nFor questions, suggestions, or contributions, feel free to open an issue or pull\n\n## \ud83c\udf93 Credits & License\n\nDeveloped as part of a GSoC\n\n### Authors\n\n- Leonardo Heim \n- Shivam Basia \n",
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