Alternatives and similar repositories for defragTrees:

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

• puyokw / kaggle_Otto
  R script for Otto Group Production Classification on Kaggle
  ☆28Updated 9 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• dominiek / python-bhtsne
  Python module for Barnes-Hut implementation of t-SNE (Cython)
  ☆113Updated 6 years ago
• diefimov / otto_2015
  ☆30Updated 8 years ago
• mikeskim / dboost
  Stochastic Dummy Boosting
  ☆24Updated 8 years ago
• upura / knnFeat
  Python Implementation of Feature Extraction with K-Nearest Neighbor
  ☆64Updated last year
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 8 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆57Updated 4 years ago
• anitan0925 / ResFGB
  Functional gradient boosting based on residual network perception
  ☆28Updated 4 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆37Updated 5 years ago
• lucidfrontier45 / scikit-chainer
  scikit-learn like interface to chainer
  ☆22Updated 8 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆47Updated 7 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆151Updated 3 years ago
• predict-idlab / GENESIM
  [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…
  ☆79Updated 4 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• borjaayerdi / AdaHERF
  Adaptative Hybrid Extreme Rotation Forest (AdaHERF)
  ☆34Updated 8 years ago
• GINK03 / lightgbm-feature-transform
  lightgbmのfeature-transform（特徴量の非線形化）をすることで、80,000を超える特徴量を線形回帰でも表現できることを示します
  ☆11Updated 7 years ago
• sh1ng / arboretum
  Gradient Boosting powered by GPU(NVIDIA CUDA)
  ☆64Updated 4 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 8 years ago
• pfnet-research / autogbt-alt
  An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
  ☆82Updated 5 years ago
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆88Updated 9 years ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆152Updated 10 months ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• powerscorinne / GLRM
  ☆98Updated 6 years ago