
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
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.









