Organize Machine Learning Experiments
Project description
LabML
LabML is a library to track PyTorch experiments.
LabML keeps track of every detail of the experiments: source code, configurations, hyper-parameters, checkpoints, Tensorboard logs and other statistics. LabML saves all these automatically in a clean folder structure.
LabML comes with a Dashboard to browse experiments.
Installation
pip install labml
Links
Citing LabML
If you use LabML for academic research, please cite the library using the following BibTeX entry.
@misc{labml,
author = {Varuna Jayasiri, Nipun Wijerathne},
title = {LabML: A library to organize machine learning experiments},
year = {2020},
url = {https://lab-ml.com/},
}
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