3 results
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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 -
zenecture/neuroflow
Artificial Neural Networks for Scala
Scala (JVM): 2.12 -
transcendent-ai-labs/dynaml
Scala Library/REPL for Machine Learning Research
Scala (JVM): 2.11
