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haifengl/smile

Statistical Machine Intelligence & Learning Engine

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

4720 972 44

transcendent-ai-labs/dynaml

Scala Library/REPL for Machine Learning Research

Scala (JVM): 2.11

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

161 45 4

zenecture/neuroflow

Artificial Neural Networks for Scala

Scala (JVM): 2.11 2.12

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

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

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

14 2 3

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haifengl/smile

transcendent-ai-labs/dynaml

zenecture/neuroflow

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