/lab

Organize PyTorch Experiments

Primary LanguagePythonMIT LicenseMIT

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Lab

Lab is a library to track PyTorch experiments.

Lab keeps track of every detail of the experiments: source code, configurations, hyper-parameters, checkpoints, Tensorboard logs and other statistics. Lab saves all these automatically in a clean folder structure.

Lab comes with a Dashboard to browse experiments.

Dashboard Screenshot

Installation

pip install machine_learning_lab

Links

💬 Slack workspace for discussions

📗 Documentation

📑 Articles & Tutorials

👨‍🏫 Samples

Citing Lab

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

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