szilard / ML-scoringLinks
Compare the scoring speed of several open source machine learning libraries.
☆19Updated 8 years ago
Alternatives and similar repositories for ML-scoring
Users that are interested in ML-scoring are comparing it to the libraries listed below
Sorting:
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 8 years ago
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 9 years ago
- SigOpt's public R client☆13Updated 2 years ago
- Deepboost R-package for submission☆19Updated 8 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 4 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated 2 years ago
- Efficient learning of word representations☆22Updated 4 years ago
- Encode Categorical Features (unmaintained)☆32Updated 3 years ago
- R interface to the Vowpal Wabbit☆23Updated last week
- hackaton shiny app☆59Updated 8 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- "Exploratory Data Analysis using Random Forests"☆18Updated 10 years ago
- ☆14Updated 7 years ago
- Examples used for useR! 2016 knitr tutorial☆15Updated 9 years ago
- An R package extends R to process tera-scale datasets in parallel and out of core automatically.☆17Updated 8 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 4 years ago
- ☆38Updated 9 years ago
- Generative Adversial Network Example☆15Updated 7 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- Store, append, read large lists in R without loading whole data into memory.☆14Updated 8 years ago
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆46Updated 10 years ago
- Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018☆19Updated 7 years ago
- Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics☆22Updated 7 years ago
- Tutorial on text-mining and distributional semantics with {tm}, {openNLP}, and {topicmodels} in R. Based on my BelgradeR Meetup - Methods…☆20Updated 9 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- Amazon Web Services Bundle Package☆15Updated 6 years ago
- Structure mining for xgboost model☆26Updated last month
- ☆22Updated 6 years ago
- Showcase for using R + MXNET along with AWS and bitfusion for deep learning.☆19Updated 8 years ago
- Methods workshop: Automated Text Analysis with R☆34Updated 9 years ago