szilard / GBM-multicoreLinks
GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
☆20Updated 7 years ago
Alternatives and similar repositories for GBM-multicore
Users that are interested in GBM-multicore are comparing it to the libraries listed below
Sorting:
- Scalable R for Machine Learning☆43Updated 7 years ago
- R Interface for LightGBM☆46Updated 8 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆27Updated 9 years ago
- FTRL-Proximal Online Learning Algorithm☆15Updated 8 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆70Updated 8 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 11 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- libFM R package☆26Updated 9 years ago
- ☆13Updated 7 years ago
- Compare the scoring speed of several open source machine learning libraries.☆19Updated 8 years ago
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 7 years ago
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- An implementation of the Rotation Forest algorithm from Rodriguez et al. 2006☆18Updated 12 years ago
- Mirror of Apache Spark☆24Updated 10 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 8 years ago
- Some recommendation algorithms and research☆12Updated 9 years ago
- SigOpt's public R client☆13Updated 2 years ago
- An R package for better visualizing a statistical learning model☆35Updated 3 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 4 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
- ☆12Updated 8 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Deepboost R-package for submission☆19Updated 8 years ago
- Advanced GBM Workshop - Budapest, Nov 2019☆13Updated 6 years ago
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Updated 8 years ago
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 5 years ago
- R model API to support bucketing and masking☆12Updated 7 years ago