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apache/spark

Apache Spark - A unified analytics engine for large-scale data processing

jdbc sql java big-data r scala python spark

31029 24612 331

eclipse/deeplearning4j

Model import deployment framework for retraining models (pytorch, tensorflow,keras) deploying in JVM Micro service environments, mobile devices, iot, and Apache Spark

Scala (JVM): 2.10 2.11 2.12

deeplearning4j gpu artificial-intelligence java deeplearning scala python dl4j intellij clojure spark matrix-library neural-nets linear-algebra hadoop

12063 4893 49

deeplearning4j/deeplearning4j

Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark

Scala (JVM): 2.10 2.11

deeplearning4j gpu artificial-intelligence java deeplearning scala python dl4j intellij clojure spark matrix-library neural-nets linear-algebra hadoop

11130 4735 15

catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Scala (JVM): 2.11 2.12

gradient-boosting gpu cuda kaggle decision-trees data-mining r gbm tutorial gpu-computing big-data coreml categorical-features gbdt catboost python data-science machine-learning

5986 906 162

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

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

4777 1723 132

alibaba/alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Scala (JVM): 2.11

flink-ml kafka flink graph-algorithms xgboost statistics feature-engineering word2vec flink-machine-learning regression recommender-system machine-learning classification apriori fm data-mining java recommender clustering python

2845 668 14

combust/mleap

MLeap: Deploy ML Pipelines to Production

Scala (JVM): 2.10 2.11 2.12

scikit-learn scala data-pipelines tensorflow spark transformers python

1295 284 58

pantsbuild/pants

The Pants Build System

Scala (JVM): 2.10 2.11 2.12

javascript build-tool rust monorepo java golang scala build-system build-tools python

1290 363 176

apache/incubator-sedona

A cluster computing framework for processing large-scale geospatial data

Scala (JVM): 2.11 2.12

spatial-query spatial-analysis geospatial cluster-computing java spatial-sql scala python

969 433 49

cdapio/cdap

An open source framework for building data analytic applications.

Scala (JVM): 2.11 2.12

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

563 277 125

shadaj/scalapy

Use the world of Python from the comfort of Scala!

Scala (JVM): 2.11 2.12 2.13 scala3

Scala-Native: 0.3 0.4

scala python scala-native

390 32 12

caskdata/cdap

An open source framework for building data analytic applications.

Scala (JVM): 2.11

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

281 143 80

locationtech-labs/geopyspark

GeoTrellis for PySpark

Scala (JVM): 2.11

tile-server geospatial geotrellis big-data python spark

95 29 7

mrdimosthenis/synapses

A lightweight library for neural networks that runs anywhere

Scala (JVM): 2.13

javascript fsharp deep-learning csharp java cross-platform scala neural-network lightweight python functional-programming machine-learning

33 2 3

isarn/isarn-sketches-spark

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

Scala (JVM): 2.10 2.11 2.12

spark-ml variable-importance feature-importance data-sketching aggregator sketching-algorithm apache-spark python dataframe spark t-digest pyspark udaf dataset datasets data-sketches scala dataframes

23 6 2

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