A lean C++ library for working with point cloud data
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Updated
Aug 15, 2023 - C++
A lean C++ library for working with point cloud data
H2Oai GPU Edition
Efficient similarity search and clustering for Ruby
R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development version only)
quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.
Fast Principal Component Analysis All in One
Robust and scalable PCA using Grassmann averages, in C++ with Matlab bindings
Object recognition and 6 DoF pose estimation.
Python and C/C++ library for fast, accurate PCA on the GPU
MODE-TASK plugin for PyMOL
Fast EM algorithm for a Probabilistic PCA model for Genotype data
Machine learning library for classification tasks
An ITK-based implementation of principal components analysis. A more detailed description can be found in the Insight Journal article: Bowers M., Younes L. ''Principal Components Analysis of Scalar, Vector, and Mesh Vertex Data.'' August, 2013.
C++ problem solving
Principal component analysis for 2D points
Encoder using magnetometer on Arduino nano 33 BLE
Implementation of randomized PCA using Intel MKL
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