A better status screen for deep learning.
Installation • Docs • License • Citation
pip install 'git+https://github.com/f-dangel/cockpit.git'
Cockpit is a visual and statistical debugger specifically designed for deep learning. Training a deep neural network is often a pain! Successfully training such a network usually requires either years of intuition or expensive parameter searches involving lots of trial and error. Traditional debuggers provide only limited help: They can find syntactical errors but not training bugs such as ill-chosen learning rates. Cockpit offers a closer, more meaningful look into the training process with multiple well-chosen instruments.
To install Cockpit simply run
pip install 'git+https://github.com/f-dangel/cockpit.git'
The documentation provides a full tutorial on how to get started using Cockpit as well as a detailed documentation of its API.
To showcase the capabilities of Cockpit we performed several experiments illustrating the usefulness of our debugging tool. For a discussion of those experiments please refer to our paper.
Distributed under the MIT License. See LICENSE
for more information.
If you use Cockpit, please consider citing:
@misc{schneider2021cockpit,
title={{Cockpit: A Practical Debugging Tool for Training Deep Neural Networks}},
author={Frank Schneider and Felix Dangel and Philipp Hennig},
year={2021},
eprint={2102.06604},
archivePrefix={arXiv},
primaryClass={cs.LG}
}