-
itspawanbhardwaj/spark-fuzzy-matching
Fuzzy matching function in spark (https://spark-packages.org/package/itspawanbhardwaj/spark-fuzzy-matching)
Scala Versions: 2.10 2.11 -
isarn/isarn-sketches-spark
Routines and data structures for using isarn-sketches idiomatically in Apache Spark
Scala Versions: 2.10 2.11 2.12 -
astrolabsoftware/spark3d
Spark extension for processing large-scale 3D data sets: Astrophysics, High Energy Physics, Meteorology, …
Scala Versions: 2.11 -
exasol/spark-connector
A connector for Apache Spark to access Exasol
Scala Versions: 2.11 2.12 2.13 -
tupol/spark-tools
Executable Apache Spark Tools: Format Converter & SQL Processor
Scala Versions: 2.11 2.12 -
emcecs/spark-ecs-connector
[Archived] ArchiveECS connector for Apache Spark
Scala Versions: 2.10 2.11 -
coxautomotivedatasolutions/vegalite4s
Vega-Lite4s is a small library over the comprehensive Vega-Lite Javascript visualisation library, allowing you to create beautiful Vega-Lite visualisations in Scala
Scala Versions: 2.11 2.12 -
flipkart-incubator/spark-transformers
Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
Scala Versions: 2.10 2.11 -
salmon-brain/dead-salmon-brain
Apache Spark based framework for analysis A/B experiments
Scala Versions: 2.11 2.12 -
liquidsvm/liquidsvm
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Scala Versions: 2.11 -
chitralverma/sparkml-extensions
Scala Versions: 2.11