CometML
A collection of examples demonstrating how to use Comet.ml for machine learning experiment tracking across various Python frameworks.
What is CometML?
Comet-examples is a repository containing code examples that demonstrate how to use Comet.ml for machine learning experiment management. It shows how to track datasets, code changes, experimentation history, and production models across various Python ML frameworks. The examples help data science teams implement experiment tracking to create efficiency, transparency, and reproducibility in their ML workflows.
Data scientists, machine learning engineers, and research teams working with Python ML frameworks who need to track and manage their experiments systematically. It's particularly useful for teams transitioning from ad-hoc experimentation to structured ML workflows.
Provides ready-to-use examples for implementing Comet.ml across the most popular Python ML frameworks, saving teams time in setting up experiment tracking. The examples demonstrate best practices for ensuring experiment reproducibility and transparency in diverse ML workflows.
Overview
Examples of Machine Learning code using Comet.ml
Use Cases
Best For
- Learning how to implement experiment tracking in fastai projects
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