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haifengl/smile 3.1.1

Statistical Machine Intelligence & Learning Engine

Scala versions: 3.x 2.13

linear-algebra llm nearest-neighbor-search dataframe wavelet multidimensional-scaling genetic-algorithm regression classification machine-learning manifold-learning clustering deep-learning computer-vision nlp computer-algebra-system statistics interpolation visualization data-science

6050 51
tailhq/dynaml 1.5.3

Scala Library/REPL for Machine Learning Research

Scala versions: 2.11

kernel-methods machine-learning-algorithms committee-models tensorflow repl regression scala-library classification machine-learning machine-learning-api gaussian-processes scala

201 5
zenecture/neuroflow 1.8.2

Artificial Neural Networks for Scala

Scala versions: 2.12

pattern-recognition data-science artificial-neural-networks data-artistry scala regression classification clustering

109 2
citrineinformatics/lolo 6.5.0

A random forest

Scala versions: 2.13

machine-learning-algorithms uncertainty random-forest jackknife-variance-estimates regression classification

41 13
dacr/sotohp 0.0.15

Photos management

Scala versions: 3.x

image-classification lmdb elasticsearch javafx objects-detection photos-manager deep-java-learning scala image-viewer image-recognition photos deep-java-library photos-management faces-detection zio classification image-processing opensearch

27 1
liquidsvm/liquidsvm 0.6.0

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

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

66 3
alibaba/alink 1.6.2

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

Scala versions: 2.11

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

3582 16

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haifengl/smile 3.1.1

tailhq/dynaml 1.5.3

zenecture/neuroflow 1.8.2

citrineinformatics/lolo 6.5.0

dacr/sotohp 0.0.15

liquidsvm/liquidsvm 0.6.0

alibaba/alink 1.6.2