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Gen AI apps are built with MongoDB Atlas
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MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
A machine learning system for supervised document classification
An open source system for supervised document classification based on statistical machine learning techniques.
On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.
Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.