Alternatives and similar repositories for polylearn:

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

• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• jfloff / pywFM
  pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM
  ☆252Updated 6 years ago
• dask / dask-xgboost
  ☆162Updated 3 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆428Updated 7 years ago
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆206Updated 6 years ago
• alexeygrigorev / libffm-python
  A Python wrapper for LibFFM
  ☆120Updated 5 years ago
• turi-code / python-libffm
  A Python wrapper for the libffm library.
  ☆243Updated 6 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆499Updated 7 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆151Updated 4 years ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆224Updated 5 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆105Updated last year
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆88Updated 9 years ago
• navicto / Discretization-MDLPC
  Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)
  ☆60Updated 6 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆240Updated 6 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 2 weeks ago
• mblondel / svmlight-loader
  Fast and memory-efficient svmlight / libsvm file loader for Python.
  ☆116Updated 5 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 6 years ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆246Updated 4 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last year
• anttttti / Wordbatch
  Python library for distributed AI processing pipelines, using swappable scheduler backends.
  ☆414Updated 3 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆488Updated 7 years ago
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 4 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆416Updated 2 years ago