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C++ implementation of R*-tree, an MVR-tree and a TPR-tree with C API
Framework and Library for Distributed Online Machine Learning
A command-line tool for converting heightmaps in GeoTIFF format into tiled optimized meshes.
Fast and flexible C++ library for working with OpenStreetMap data.
GNU Gatekeeper - H.323 server for VoIP and videoconferencing
Lightweight audio player & converter for FreeBSD/Linux/macOS
Read images to numpy arrays
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.