ramhiser / activelearningLinks
Active Learning in R
☆47Updated 8 years ago
Alternatives and similar repositories for activelearning
Users that are interested in activelearning are comparing it to the libraries listed below
Sorting:
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆34Updated last year
- R Interface for LightGBM☆47Updated 7 years ago
- Scalable R for Machine Learning☆43Updated 6 years ago
- An R package for better visualizing a statistical learning model☆35Updated 2 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 months ago
- libFM R package☆26Updated 8 years ago
- ☆38Updated 8 years ago
- Project Dense Vectors Text Representation on 2D Plan☆16Updated 6 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 3 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- Encode Categorical Features (unmaintained)☆32Updated 2 years ago
- R interface to the Vowpal Wabbit☆23Updated 8 months ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 4 months ago
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Updated 8 years ago
- Create deep architectures in the R programming language☆71Updated 7 years ago
- Visualization tools to use with RBERT☆45Updated 4 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
- exploratory data analysis using random forests☆68Updated 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
- Lecture Slides for Introduction to Data Science☆26Updated 2 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated last year
- Efficient learning of word representations☆22Updated 4 years ago
- R package for analyzing and manipulating multilabel datasets☆23Updated 5 years ago
- Machine learning pipelines for R.☆67Updated 8 years ago
- Learning Discrete Bayesian Network Classifiers from Data☆20Updated last year
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆46Updated 10 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