Alternatives and similar repositories for rgf

Users that are interested in rgf are comparing it to the libraries listed below

• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆429Updated 7 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 6 years ago
• h2oai / pystacknet
  ☆289Updated 3 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆551Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆858Updated last year
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 4 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 3 months ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆153Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆692Updated 10 months ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 6 years ago
• Far0n / kaggletils
  ☆383Updated 8 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• andosa / treeinterpreter
  ☆759Updated last year
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆222Updated 4 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 6 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆421Updated last year
• catboost / benchmarks
  Comparison tools
  ☆171Updated 3 months ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆334Updated 4 years ago
• anttttti / Wordbatch
  Python library for distributed AI processing pipelines, using swappable scheduler backends.
  ☆414Updated 3 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• ArdalanM / pyLightGBM
  Python binding for Microsoft LightGBM
  ☆343Updated 6 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆105Updated 2 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆764Updated 4 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago