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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.
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Try the collab notebook : https://colab.research.google.com/drive/1jj9BgsFApkqnpPMLCHSDH-5MoL_bjvYq?usp=sharing
Neptune.ai is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process - exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.
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“We can’t simply look at a global accuracy metric, rather we must use sliced analysis to gauge the improvements or degradations in each market and product category.”
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