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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.

Scaling ML Operations for a Multi-Sided Retail Marketplace: How Shipt Leverages Comet

Shipt, a well-known company that connects personal shopping and delivery through technology, uses Comet to help efficiently scale their machine learning (ML) operations for their multi-sided retail marketplace. Comet helps Shipt adopt a hybrid platform approach and effectively manage their non-monolithic ML platform. By using Comet's Model Registry to log trained models, Shipt can focus on building certain tools in-house while relying on Comet for specialized features. This allows them to prioritize their resources and streamline processes
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Retail
1,000+ employees

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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Transportation
10,001+ employees
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Using Comet Panels for Computer Vision at Pento.ai

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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Technology
11-50 employees
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