comet-ml/comet-examples

Examples of Machine Learning code using Comet.ml

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Established

This repository provides practical examples for machine learning engineers and data scientists to effectively track their model experiments. It helps prevent losing valuable experiment results by demonstrating how to log datasets, code changes, and model performance. You provide your Python ML code, and it shows you how to integrate Comet to get reproducible, transparent experiment history.

171 stars.

Use this if you are a machine learning engineer or data scientist looking for concrete examples to manage and reproduce your ML experiment history across various Python libraries.

Not ideal if you are looking for a general-purpose machine learning library or a tool that doesn't focus on experiment tracking and management.

machine-learning-operations experiment-tracking data-science-workflow model-reproducibility MLOps
No License No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

171

Forks

64

Language

Jupyter Notebook

License

Last pushed

Feb 09, 2026

Commits (30d)

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