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A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management πŸš€

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awesome-ml-experiment-management

A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management πŸš€

  • Aim: An easy-to-use and performant open-source experiment tracker.
  • ClearML: Automagical experiment tracking, environments and results
  • Comet: Manage and optimize the entire ML lifecycle, from experiment tracking to model production monitoring.
  • DVC Studio: A web application that works with the data, metrics and hyperparameters that you add to your ML project repositories.
  • Guild AI: Open source experiment tracking, pipeline automation, and hyperparameter tuning.
  • Keepsake: Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
  • mlflow: Open source platform for the machine learning lifecycle.
  • Neptune: A lightweight experiment management tool that fits any workflow.
  • Polyaxon: Open-source ML experiemnts management platform.
  • Sacred: A tool to configure, organize, log and reproduce computational experiments.
  • Tensorboard: Provides the visualization and tooling needed for machine learning experimentation.
  • TraceML: Engine for ML/Data tracking, visualization, dashboards, and model UI.
  • Weights and Biases: A tool for visualizing and tracking your machine learning experiments.