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.
☆381Updated 3 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☆431Updated 7 years ago
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- ☆290Updated 3 years ago
- Library for machine learning stacking generalization.☆117Updated 6 years ago
- A set of useful tools for competitive data science.☆552Updated 2 years ago
- Python package for stacking (machine learning technique)☆694Updated last year
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆255Updated 4 years ago
- Gradient Boosting With Piece-Wise Linear Trees☆154Updated last year
- ML-Ensemble – high performance ensemble learning☆860Updated last year
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 5 years ago
- ☆383Updated 8 years ago
- ⛔️ DEPRECATED brew: Python Ensemble Learning API☆303Updated 7 years ago
- scikit-learn compatible projects☆411Updated 4 months ago
- A fast xgboost feature selection algorithm☆223Updated 4 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Personal data science and machine learning toolbox☆365Updated 5 years ago
- A python module of handy tools and functions, mainly for ML and Kaggle☆335Updated 4 years ago
- scikit-learn compatible implementation of stability selection.☆213Updated 2 years ago
- Gradient Boosting powered by GPU(NVIDIA CUDA)☆65Updated 5 years ago
- ☆759Updated 2 years ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated 2 years ago
- Feature exploration for supervised learning☆764Updated 4 years ago
- optimization routines for hyperparameter tuning☆422Updated last year
- Python binding for Microsoft LightGBM☆345Updated 6 years ago
- Python library for distributed AI processing pipelines, using swappable scheduler backends.☆415Updated 3 years ago
- ☆872Updated 5 years ago
- FTRL-Proximal with python bindings☆123Updated 7 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 4 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago