RGF-team / rgf
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.
☆379Updated 3 years ago
Alternatives and similar repositories for rgf:
Users that are interested in rgf are comparing it to the libraries listed below
- XGBoost Feature Interactions Reshaped☆426Updated 7 years ago
- XGBoost Feature Interactions & Importance☆497Updated 7 years ago
- ☆286Updated 2 years ago
- Library for machine learning stacking generalization.☆117Updated 5 years ago
- A set of useful tools for competitive data science.☆551Updated 2 years ago
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆253Updated 4 years ago
- Gradient Boosting With Piece-Wise Linear Trees☆151Updated 9 months ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- ☆381Updated 7 years ago
- A fast xgboost feature selection algorithm☆218Updated 3 years ago
- Bayesian Optimization using xgboost and sklearn API☆225Updated 8 years ago
- Python binding for Microsoft LightGBM☆341Updated 5 years ago
- Python package for stacking (machine learning technique)☆689Updated 5 months ago
- A python module of handy tools and functions, mainly for ML and Kaggle☆333Updated 3 years ago
- ML-Ensemble – high performance ensemble learning☆848Updated last year
- scikit-learn compatible projects☆410Updated 2 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆705Updated 3 years ago
- Python library for distributed AI processing pipelines, using swappable scheduler backends.☆414Updated 3 years ago
- The 3rd place solution for Santander Customer Satisfaction competition☆122Updated 8 years ago
- A simple, extensible library for developing AutoML systems☆173Updated last year
- Personal data science and machine learning toolbox☆364Updated 4 years ago
- 2nd place solution for Allstate Claims Severity competition at Kaggle☆131Updated 8 years ago
- Gradient Boosting powered by GPU(NVIDIA CUDA)☆64Updated 4 years ago
- This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.☆189Updated 6 years ago
- 2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction☆157Updated 5 years ago
- scikit-learn compatible implementation of stability selection.☆210Updated last year
- Tuning hyperparams fast with Hyperband☆592Updated 6 years ago
- ⛔️ DEPRECATED brew: Python Ensemble Learning API☆301Updated 6 years ago
- Comparison tools☆169Updated 6 months ago
- FTRL-Proximal with python bindings☆123Updated 6 years ago