mlpack: a fast, header-only C++ machine learning library

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Multi-core implementation of Regularized Greedy Forest

Benchmark of Nearest Neighbor Search on High Dimensional Data

One-shot Learning for Semantic Segmentation

GPU-based Total (Generalized) Variation implementation for various applications, with Python and Matlab wrappers.

A small but efficient C++ library for computing (customized) tree and hypertree decompositions.

Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].

Spherical k-means implementation in Matlab and C++ (with multithreading). The spherical k-means algorithm is used to automatically group text documents into a set of k clusters. Machine learning, d…

Object Segmentation (NIPS 2014)

A Quaternion class that implements general functionality with focus on the Modified Rodrigues Parametrization (MRPs)

Fast Approximate Orthogonal Tensor Decomposition Based on Importance Sampling

Optimal Naive Bayes Nearest Neighbours

OTB Module: Fast Feature Selection