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.

Dashboard Screenshot


pip install labml

Citing LabML

If you use LabML for academic research, please cite the library using the following BibTeX entry.

 author = {Varuna Jayasiri, Nipun Wijerathne},
 title = {LabML: A library to organize machine learning experiments},
 year = {2020},
 url = {https://lab-ml.com/},