ClearML
ClearML simplifies experiment tracking by providing an integrated platform that automatically captures and logs all aspects of a machine learning pipeline. With ClearML, users can track their experiments effortlessly, from data preprocessing to model training and evaluation, all within a unified interface. It supports version control of datasets, models, and code, ensuring that each experiment can be fully reproduced. ClearML also offers real-time monitoring, visualization tools for metrics, and the ability to compare experiment results, helping teams accelerate the development and deployment of machine learning models. By automating the tracking process, ClearML reduces the overhead of manual logging and fosters a more organized and efficient workflow. We provide below screenshots of the tool and some of experiments output. The tool is typically deployed in docker containers locally to the site that the application will be hosted. It can be orchestrated to do finetuning with other datasets to address model drift.
