Alternatives and similar repositories for bonsai-dt:

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

• powerscorinne / GLRM
  ☆98Updated 6 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 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.
  ☆184Updated 6 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
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last year
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• selective-inference / Python-software
  Python software for selective inference
  ☆51Updated last year
• alan-turing-institute / xpandas
  Universal 1d/2d data containers with Transformers functionality for data analysis.
  ☆26Updated 2 years ago
• probcomp / trcrpm
  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
  ☆38Updated 11 months ago
• HeardACat / TreeGrad
  ☆21Updated 5 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 9 years ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆59Updated last year
• 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
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 6 months ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆75Updated 2 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆92Updated last year
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆57Updated 3 years ago
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 2 years ago
• iskandr / knnimpute
  Python implementations of kNN imputation
  ☆31Updated 7 years ago
• travisbrady / py-soft-impute
  Python implementation of Mazumder and Hastie's softImpute for matrix completion
  ☆46Updated 9 years ago
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆19Updated 5 years ago
• dtak / hs-bnn-public
  ☆12Updated 7 years ago
• zygmuntz / dimensionality-reduction-for-sparse-binary-data
  convert a lot of zeros and ones to fewer real numbers
  ☆23Updated 10 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 2 years ago