Apache Spark - A unified analytics engine for large-scale data processing
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.
REST job server for Apache Spark
State of the Art Natural Language Processing
The Programming Language Designed For Big Data and AI
Base classes to use when writing tests with Spark
Microsoft Machine Learning for Apache Spark
MLeap: Deploy Spark Pipelines to Production
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Sparkling Water provides H2O functionality inside Spark cluster
Integration of TensorFlow with other open-source frameworks
Expressive types for Spark.
Simplifying robust end-to-end machine learning on Apache Spark.
Cloudflow enables users to quickly develop, orchestrate, and operate distributed streaming applications on Kubernetes.
An open source framework for building data analytic applications.
A simplified, lightweight ETL Framework based on Apache Spark
Serverless proxy for Spark cluster
Scala Library/REPL for Machine Learning Research