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Aporia is a full-stack and highly customizable ML observability platform that powers data science and ML engineering teams to monitor, debug, explain and improve their machine learning models and data. Aporia is the ML Observability platform, trusted by Fortune 500 enterprises – including Bosch, Munich RE, & Sixt – and industry leaders to visualize, monitor, and ensure ML models are performing at their best, always.
Comet is a meta machine learning platform designed to help data scientists and machine learning engineers to track, manage, visualize, and optimize ML models—from training runs to production monitoring. With just 2 line of code Comet integrates seamlessly with your existing ML infrastructure and tools so you do not have to start from scratch. Comet is trusted by some of the most innovative ML teams including Etsy, Uber, Shopify, Zappos, Ancestry, Assembly AI, Google AI, Shipt and many more. Learn more @ https://www.comet.com/site/ Try the collab notebook : https://colab.research.google.com/drive/1jj9BgsFApkqnpPMLCHSDH-5MoL_bjvYq?usp=sharing
Pachyderm is an open source data science platform that combines Data Lineage with End-to-End Pipelines on Kubernetes, engineered for the enterprise. And It’s open source. Pachyderm is an enterprise-grade, open source data science platform that makes explainable, repeatable, and scalable ML/AI a reality. Their platform brings together version control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. What makes Pachyderm a natural choice for data science teams is that they can iterate quickly and know that everything is tracked and 100% reproducible.
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