A modular ML framework for training and evaluation tasks
Project description
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🔍 About the Project
XFlow is a lightweight modular machine-learning framework, built with a clear high-level structure and developed through vibe coding.
Originally created for physics research, it's now evolving toward generic scientific applications ML workflows: Data → Processing → Modeling
XFlow keeps things simple and minimal.
Includes reusable modules for datasets, models, training loops, visualization, and logging.
🛠 Built With
- Python 3.12
- TensorFlow 2.x
- Keras 3.x
- PyTorch 2.5.x
🚀 Getting Started
Installation
Install from PyPI:
pip install xflow-py
Clone the repository and install in editable mode:
git clone https://github.com/Andrew-XQY/XFlow.git
cd XFlow
pip install -e .
License
This project is licensed under the MIT License. See the LICENSE file for details.
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