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1 change: 1 addition & 0 deletions README.md
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- [Mahout](https://mahout.apache.org/) - An environment for quickly creating scalable performant machine learning applications.
- [Spark MLlib](https://spark.apache.org/docs/latest/ml-guide.html) - Spark's scalable machine learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives.
- [Datatrax](https://github.com/rbmuller/datatrax) - Pure-Go classic machine learning toolkit and data engineering utilities. Eight algorithms with zero external dependencies.
- [Zingg](https://www.zingg.ai/) - Open source Master Data Management platform using machine learning for entity resolution at scale. Native to Databricks, Microsoft Fabric, Snowflake, AWS, and GCP. Golden records are maintained through a persistent Zingg ID across all systems and sources.
- Batch Graph
- [GraphLab Create](https://turi.com/products/create/docs/) - A machine learning platform that enables data scientists and app developers to easily create intelligent apps at scale.
- [Giraph](https://giraph.apache.org/) - An iterative graph processing system built for high scalability.
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