Alternatives and similar repositories for bonsai-dt

Users that are interested in bonsai-dt are comparing it to the libraries listed below

• lacava / few
  a feature engineering wrapper for sklearn
  ☆52Updated 5 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 2 months ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• benjaminpatrickevans / XAI
  Genetic programming method for explaining complex black-box models
  ☆19Updated last year
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 2 months ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago
• pplonski / gafe
  Genetic Algorithm Feature Engineering
  ☆15Updated 7 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆83Updated 3 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• evhub / bbopt
  Black box hyperparameter optimization made easy.
  ☆75Updated 2 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆80Updated 6 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆59Updated last year
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆60Updated 7 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆33Updated 6 years ago
• NoRaincheck / TreeGrad
  ☆21Updated 5 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆105Updated 2 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated last year
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆57Updated 5 years ago
• VIDA-NYU / PipelineVis
  Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.
  ☆86Updated last year