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deeplearning4j/deeplearning4j
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
Scala (JVM): 2.10 2.11 -
cdapio/cdap
An open source framework for building data analytic applications.
Scala (JVM): 2.11 -
eclipse/deeplearning4j
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
Scala (JVM): 2.11 2.12 -
locationtech-labs/geopyspark
GeoTrellis for PySpark
Scala (JVM): 2.11 -
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 (JVM): 2.11 -
combust/mleap
MLeap: Deploy Spark Pipelines to Production
Scala (JVM): 2.11 2.12 -
pantsbuild/pants
The Pants Build System
Scala (JVM): 2.12 -
intel-analytics/analytics-zoo
Distributed Tensorflow, Keras and BigDL on Apache Spark
Scala (JVM):Sbt: 1.6 2.1 2.2 2.3 2.4 -
h2oai/h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Scala (JVM): 2.10 2.11
