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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.
Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.
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