Repository Index

ThunderSVM: A Fast SVM Library on GPUs and CPUs

• classification
• regression
• one-class-learning
• cuda

Ruby language bindings for LIBSVM

• libsvm
• ruby-bindings
• ruby
• ruby-language-bindings

This is the Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification and other large linear classifications)

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.

• svm
• regression
• classification
• machine-learning