RGF-team / rgfLinks
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
☆382Updated 4 years ago
Alternatives and similar repositories for rgf
Users that are interested in rgf are comparing it to the libraries listed below
Sorting:
- XGBoost Feature Interactions Reshaped☆433Updated 8 years ago
- XGBoost Feature Interactions & Importance☆501Updated 8 years ago
- A set of useful tools for competitive data science.☆554Updated 3 years ago
- ☆297Updated 3 years ago
- Library for machine learning stacking generalization.☆119Updated 6 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 5 years ago
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆255Updated 5 years ago
- Python package for stacking (machine learning technique)☆702Updated 2 months ago
- Gradient Boosting With Piece-Wise Linear Trees☆154Updated last year
- scikit-learn compatible projects☆407Updated 9 months ago
- ML-Ensemble – high performance ensemble learning☆860Updated 2 years ago
- Bayesian Optimization using xgboost and sklearn API☆225Updated 9 years ago
- ☆383Updated 8 years ago
- ⛔️ DEPRECATED brew: Python Ensemble Learning API☆304Updated 7 years ago
- Personal data science and machine learning toolbox☆366Updated 5 years ago
- A fast xgboost feature selection algorithm☆229Updated 4 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Comparison tools☆171Updated last week
- A python module of handy tools and functions, mainly for ML and Kaggle☆336Updated 4 years ago
- Python library for distributed AI processing pipelines, using swappable scheduler backends.☆416Updated 4 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆189Updated 7 years ago
- Python binding for Microsoft LightGBM☆346Updated 6 years ago
- scikit-learn compatible implementation of stability selection.☆214Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- A garden for scikit-learn compatible trees☆288Updated last year
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- Feature exploration for supervised learning☆761Updated 4 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 4 years ago
- ☆762Updated 2 years ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated 2 years ago