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Comet Launches Kangas, an Open Source Data Analysis, Exploration and Debugging Tool for Machine Learning.

Customer Stories

Comet’s machine learning platform is trusted by thousands of ML practitioners and 450 enterprise, startup, and academic teams. They use it to track, compare, explain, and optimize their models across the complete ML lifecycle – from experiment management to monitoring models in production. Here are some of their stories.

Building an end-to-end Speech Recognition model in PyTorch with AssemblyAI

Deep Learning has changed the game in speech recognition with the introduction of end-to-end models. These models take in audio, and directly output transcriptions. Two of the most popular end-to-end models today are Deep Speech by Baidu, and Listen Attend Spell (LAS) by Google.
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Software Development, Workflow Automation
11-50 employees

How Scientists at Uber Use Comet to Manage ML Experiments

Scale is an interesting, often over-simplified challenge in machine learning. Intuitively, most everyone understands that bigger models require large amounts of resources (e.g., large datasets, computational power), but cost is just one piece of ML’s scale problem.
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10,001+ employees
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Using Comet Panels for Computer Vision at

We recently released a code-based custom visualization builder called Custom Panels. As part of the rollout, we’re featuring user stories from some of the awesome Researchers using Comet as part of their R&D toolkit.
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11-50 employees
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