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locationtech-labs/geopyspark

GeoTrellis for PySpark

Scala (JVM): 2.11

big-data geotrellis geospatial python tile-server spark

95 29 7

ctongfei/kingscross

Portal from the magical world of Scala to dangerous external interpreters outside JVM

Scala (JVM): 2.11

scala python

2 0 1

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

classification machine-learning expectile-regression svm matlab c-plus-plus quantile-regression regression octave r-package rstats apache-spark ml python r

14 2 3

caskdata/cdap

An open source framework for building data analytic applications.

Scala (JVM): 2.11

spark-streaming java integration cdap dataset java-8 mapreduce unified platform python spark

281 143 80

intel-analytics/bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

Scala (JVM):

big-data hadoop keras scala neural-network deep-learning python ai spark

2764 660 54

h2oai/h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

Scala (JVM): 2.10 2.11