kudkudak / Growing-Neural-Gas
Online, efficient GNG R package in C++
☆42Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for Growing-Neural-Gas
- GMUM machine learning group R package☆33Updated last year
- Restricted Boltzmann Machines in R☆36Updated 4 years ago
- An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet…☆141Updated 6 years ago
- ☆32Updated 4 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆45Updated 9 years ago
- Dirichlet Process K-means☆46Updated 4 months ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 9 months ago
- Dense Bag-of-Temporal-SIFT-Words☆8Updated 7 years ago
- Fast autodiff.☆19Updated 9 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Connect R to MOA for massive online data stream mining☆37Updated 2 years ago
- ☆60Updated 4 years ago
- gputools R package for gpu computing☆68Updated 6 years ago
- R package to visualize mapping structures of random forests with feature contributions☆42Updated 3 years ago
- Performance comparison of the MRPT algorithm to other approximate nearest neighbor search libraries☆27Updated 6 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Basic Gaussian process regression library. (Eigen3 required)☆24Updated 9 years ago
- R package providing ViennaCL header files☆19Updated 5 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- Bayesian nonparametric small-variance asymptotic clustering algorithms☆20Updated 7 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Dynamic programming inference by continuation hashing.☆29Updated 9 years ago
- R interface to the Vowpal Wabbit☆23Updated 6 months ago
- ☆12Updated 7 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆12Updated 7 years ago
- R interface to Tensorflow via skflow☆18Updated 8 years ago
- Local Fisher Discriminant Analysis in R☆77Updated last year
- Simple implementation of the "growing neural gas" artificial neural network☆58Updated 4 years ago