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zenecture/neuroflow

Artificial Neural Networks for Scala

Scala (JVM): 2.11 2.12

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

95 6 2

transcendent-ai-labs/dynaml

Scala Library/REPL for Machine Learning Research

Scala (JVM): 2.11

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

161 45 4

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

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

14 2 3

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