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haifengl/smile

Statistical Machine Intelligence & Learning Engine

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

4978 995 46

transcendent-ai-labs/dynaml

Scala Library/REPL for Machine Learning Research

Scala (JVM): 2.11

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

161 45 4

zenecture/neuroflow

Artificial Neural Networks for Scala

Scala (JVM): 2.11 2.12

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

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

14 2 3

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haifengl/smile

transcendent-ai-labs/dynaml

zenecture/neuroflow

liquidsvm/liquidsvm