yubin-park / bonsai-dt

Related projects ⓘ

Alternatives and complementary repositories for bonsai-dt

• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆75Updated 5 years ago
• powerscorinne / GLRM
  ☆97Updated 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
• maciejkula / mixture
  ☆27Updated 6 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 7 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 3 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆40Updated 2 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆10Updated 4 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 2 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆126Updated last year
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆59Updated last year
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆183Updated 5 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 3 months ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 3 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆74Updated 2 years ago
• mcasl / PipeGraph
  Home of the PipeGraph extension to Scikit-Learn
  ☆24Updated last year
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆55Updated 3 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆59Updated 7 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 6 years ago
• zygmuntz / dimensionality-reduction-for-sparse-binary-data
  convert a lot of zeros and ones to fewer real numbers
  ☆23Updated 10 years ago
• probcomp / trcrpm
  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
  ☆37Updated 9 months ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• Jianbo-Lab / CCM
  ☆74Updated 5 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 3 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆76Updated 3 years ago