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torao/quebic

Simple Journaling Queue Library

queue pipeline scala machine-learning java etl

0 0 1

sparkling-graph/sparkling-graph

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

Scala (JVM): 2.10 2.11

spark dsl coarsing graph graph-algorithms approximation measure network-analysis vertex link-predication heuristics big-data machine-learning comunity-detection-methods

88 20 4

locationtech/rasterframes

Geospatial Raster support for Spark DataFrames

Scala (JVM): 2.11

spark sparksql spark-ml geotrellis scala machine-learning earth-observation image-processing

18 10 4

flipkart-incubator/spark-transformers

Spark-Transformers: Library for exporting Apache Spark MLLIB models in to use them in any Java application with no other dependencies.

Scala (JVM): 2.10 2.11

apache-spark spark machine-learning-library transformers export scala machine-learning mllib java machine-learning-algorithms data-pipelines

25 20 8

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

opensource distributed r spark data-science deep-learning hadoop ensemble-learning python gbm naive-bayes gpu h2o multi-threading random-forest big-data machine-learning java automatic pca

3426 1315 110

thoughtworksinc/deeplearning.scala

A simple library for creating complex neural networks

Scala (JVM): 2.10 2.11 2.12

neural-network dsl deep-learning functional-programming symbolic-computation domain-specific-language deep-neural-networks scala automatic-differentiation machine-learning

622 68 16

apache/incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Scala (JVM): 2.10

Sbt: 64.0

deep-learning mxnet deep-neural-networks distributed-systems machine-learning artificial-intelligence

13590 5022 383

h2oai/sparkling-water

Sparkling Water provides H2O functionality inside Spark cluster

Scala (JVM): 2.11

spark devel h2o integration rsparkling machine-learning pysparkling api

682 292 34

iaja/scalaldavis

Scala-Spark port of https://github.com/bmabey/pyLDAvis for Apache Spark LDA Topic Modelling Visualisation

Scala (JVM): 2.11

spark scala machine-learning apache visulization lda

5 2 1

sansa-stack/sansa-ml

SANSA Machine Learning Layer

Scala (JVM): 2.11

rdf distributed-computing semantic-web embeddings machine-learning owl

22 5 14

spotify/noether

Scala Aggregators used for ML Model metrics monitoring

Scala (JVM): 2.11 2.12

machine-learning scala

26 6 6

eharmony/aloha

A scala-based feature generation and modeling framework

Scala (JVM): 2.10 2.11

machine-learning machinelearning feature-extraction

50 12 7

johnsnowlabs/spark-nlp

Natural Language Understanding Library for Apache Spark.

Scala (JVM): 2.11

pyspark annotation-framework spark entity-extraction natural-language-processing lemmatizer spell-checker tokenizer nlp named-entity-recognition spark-ml machine-learning natural-language-understanding nlu sentiment-analysis part-of-speech-tagger stemmer

434 102 19

deeplearning4j/datavec

ETL Library for Machine Learning - data pipelines, data munging and wrangling

Scala (JVM): 2.10 2.11

spark formatter data-munging schema writables hadoop-ecosystem pipeline machine-learning datapipeline etl svmlight transformations

219 162 37

sciss/muta

Building blocks for Desktop based Genetic Algorithms

Scala (JVM): 2.10 2.11

genetic-algorithm machine-learning

1 0 1

cirg-up/cilib

Typesafe, purely functional Computational Intelligence

Scala (JVM): 2.10 2.11 2.12

functional-programming computational-intelligence scala machine-learning cilib optimization-algorithms

82 99 17

s22s/raster-frames

Spark DataFrames for earth observation data

Scala (JVM): 2.11

spark sparksql spark-ml geotrellis scala machine-learning earth-observation image-processing

22 5 7

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