dsteinberg / libcluster
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
☆143Updated 7 years ago
Alternatives and similar repositories for libcluster:
Users that are interested in libcluster are comparing it to the libraries listed below
- Library for performing spectral clustering in C++☆77Updated last year
- A flexible and efficient С++ template library for dimension reduction☆233Updated 9 months ago
- Performance comparison of the MRPT algorithm to other approximate nearest neighbor search libraries☆27Updated 7 years ago
- Gaussian process library for machine learning☆115Updated 8 years ago
- Randomized Decision Trees: A Fast C++ Implementation of Random Forests.☆177Updated 4 years ago
- Project repository for Secrets of Matrix Factorization (ICCV 2015)☆13Updated 6 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 8 years ago
- Header-only version of RedSVD☆58Updated 10 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- A C++ Library for Discrete Graphical Models☆415Updated 3 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Automatic Feature Selection☆31Updated 7 years ago
- C++11 multivariate normal distribution sampling using Eigen matrices☆72Updated 3 years ago
- Fast, vectorized C++ implementation of K-Means using the Eigen matrix template library. Includes Matlab and Python interfaces.☆57Updated 7 years ago
- A Hidden Markov Model Application and C++ Library for Rapid and Flexible Development of HMMs☆154Updated 3 years ago
- Proximal Operator Graph Solver☆88Updated 2 years ago
- Fast computation of Gauss transforms in multiple dimensions; enables efficient Kernel Density Estimation (KDE) with Gaussian kernels.☆63Updated 6 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆99Updated 7 years ago
- Basic Gaussian process regression library. (Eigen3 required)☆25Updated 9 years ago
- Multivariate kernel density estimation [statistics]☆50Updated 9 years ago
- A clustering library for large/temporally evolving datasets☆48Updated 7 years ago
- C++ implementation of IRLS algorithm for generalized linear model☆20Updated 7 years ago
- Fast autodiff.☆19Updated 10 years ago
- Python bindings for ceres-solver (via Cython)☆44Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- [Complete] 𝓞(n³) implementation of the Hungarian algorithm☆40Updated 4 years ago
- C++ 11 implementation of Geoff Hinton's Deep Learning matlab code☆285Updated 9 years ago
- Pythonic bindings to the Ceres-Solver minimizer☆18Updated 5 years ago
- Gaussian process code in C++ including some implementations of GP-LVM and IVM.☆68Updated 3 years ago
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆89Updated 2 years ago