Alternatives and similar repositories for polyssifier

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

• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆102Updated 5 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆25Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 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 5 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆74Updated 7 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆126Updated 7 months ago
• ContextLab / hypertools-paper-notebooks
  Supporting notebooks and data from hypertools paper
  ☆145Updated 7 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated 2 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated 2 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆58Updated 3 years ago
• EFavDB / linselect
  ☆88Updated 7 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆119Updated 9 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆39Updated 5 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 6 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• napsternxg / ipython-notebooks
  Some iPython Notebooks I have created for personal learning
  ☆65Updated last year
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• christopherjenness / ML-lib
  An extensive machine learning library, made from scratch (Python).
  ☆111Updated 7 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 8 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• mrocklin / dasklearn
  Dask powered gridsearch and pipeline a la scikit-learn
  ☆42Updated 10 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 7 years ago
• jakevdp / mst_clustering
  Scikit-learn style estimator for Minimum Spanning Tree Clustering in Python
  ☆86Updated 9 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 10 years ago