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haifengl/smile

Statistical Machine Intelligence & Learning Engine

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

4978 995 46

transcendent-ai-labs/dynaml

Scala Library/REPL for Machine Learning Research

Scala (JVM): 2.11

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

161 45 4

zenecture/neuroflow

Artificial Neural Networks for Scala

Scala (JVM): 2.11 2.12

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

95 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

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

14 2 3

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haifengl/smile

transcendent-ai-labs/dynaml

zenecture/neuroflow

liquidsvm/liquidsvm