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An opinionated machine learning framework

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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