lrouviere / AGB
These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.
☆17Updated 7 years ago
Alternatives and similar repositories for AGB:
Users that are interested in AGB are comparing it to the libraries listed below
- An R package for better visualizing a statistical learning model☆34Updated 2 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated 11 months ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 6 years ago
- libFM R package☆26Updated 8 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- ☆31Updated 8 years ago
- Temporal HIErarchical Forecasting☆48Updated last year
- ☆12Updated 3 years ago
- R Interface for LightGBM☆47Updated 7 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- Personal blog raw files.☆22Updated last year
- Advanced GBM Workshop - Budapest, Nov 2019☆12Updated 5 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 5 years ago
- ☆8Updated 5 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated last month
- R model API to support bucketing and masking☆12Updated 6 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 8 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- Code used in Kaggle competitions☆23Updated 7 years ago
- Algorithms for detection of outliers based on frequent pattern mining☆20Updated 7 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 10 years ago
- Exploratory and diagnostic machine learning tools for R☆72Updated 3 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 6 years ago
- Information Package☆44Updated 8 years ago
- Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…☆21Updated 4 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- Restricted Boltzmann Machines in R☆36Updated 4 years ago