zachmayer / rbmLinks
Restricted Boltzmann Machines in R
☆36Updated 5 years ago
Alternatives and similar repositories for rbm
Users that are interested in rbm are comparing it to the libraries listed below
Sorting:
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆46Updated 10 years ago
- R interface to the Vowpal Wabbit☆23Updated 3 months ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- Deepboost R-package for submission☆19Updated 8 years ago
- A system for blending regression models in R☆76Updated 12 years ago
- ☆60Updated 5 years ago
- R package to visualize mapping structures of random forests with feature contributions☆41Updated 4 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 2 months ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- gputools R package for gpu computing☆69Updated 7 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- Create deep architectures in the R programming language☆71Updated 7 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 9 months ago
- Sparklyr Extensions API☆32Updated 9 years ago
- Recurrent Neural Networks in R☆77Updated last week
- A tutorial on R and Hadoop, using the RHadoop project☆41Updated 10 years ago
- Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory☆91Updated 10 years ago
- useR 2016 tutorial on "Understanding and creating interactive graphics"☆13Updated last year
- exploratory data analysis using random forests☆68Updated 7 years ago
- R package for data imputation. Fills missing values in a numeric matrix☆38Updated 12 years ago
- ☆38Updated 9 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 8 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- R Interface for LightGBM☆46Updated 8 years ago
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- Scalable decision tree training and inference.☆83Updated 11 months ago
- A simpler ggplot2 syntax, saving half of your typing.☆80Updated 7 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago☆79Updated 3 years ago