An opinionated machine learning framework
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Project description
frogbox
Frogbox is an opinionated PyTorch machine learning framework built for rapid prototyping and research.
Features
- Experiments are defined using JSON files and support jinja2 templates.
- Flexible event system inspired by Ignite.
- Automatic experiment tracking. Currently, Weights & Biases and MLFlow is supported with other platforms planned.
- CLI tool for easy project management.
- Integrates Accelerate to support automatic mixed precision (AMP) and distributed training.
Installation
pip install frogbox
Getting started
See documentation.
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