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C++ template library for high performance SIMD based sorting algorithms

  • argsort
  • avx2
  • avx512
  • quickselect

Polygonal Surface Reconstruction from Point Clouds (C++ & Python)

  • surface-reconstruction
  • urban-modeling
  • urban-reconstruction
  • primitive-extraction

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

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.