# labml **Repository Path**: herolin12/labml ## Basic Information - **Project Name**: labml - **Description**: Organize PyTorch Experiments - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-07-23 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README .. image:: https://raw.githubusercontent.com/lab-ml/lab/master/images/lab_logo.png :width: 150 :alt: Logo :align: center 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. .. image: https://raw.githubusercontent.com/vpj/lab/master/images/loop.gif :width: 100% :alt: Logger output LabML comes with a `Dashboard `_ to browse experiments. .. image:: https://raw.githubusercontent.com/lab-ml/dashboard/master/images/screenshots/dashboard_table.png :width: 100% :alt: Dashboard Screenshot Installation ------------ .. code-block:: console pip install labml Links ----- `💬 Slack workspace for discussions `_ `📗 Documentation `_ `📑 Articles & Tutorials `_ `👨‍🏫 Samples `_ Citing LabML ------------ If you use LabML for academic research, please cite the library using the following BibTeX entry. .. code-block:: bibtex @misc{labml, author = {Varuna Jayasiri, Nipun Wijerathne}, title = {LabML: A library to organize machine learning experiments}, year = {2020}, url = {https://lab-ml.com/}, }