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transcendent-ai-labs/dynaml

Scala Library/REPL for Machine Learning Research

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

161 45 4

zenecture/neuroflow

Artificial Neural Networks for Scala

Scala (JVM): 2.11 2.12

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

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

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

14 2 3

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transcendent-ai-labs/dynaml

zenecture/neuroflow

liquidsvm/liquidsvm