Alternatives and similar repositories for highdimensional-decision-boundary-plot

Users that are interested in highdimensional-decision-boundary-plot are comparing it to the libraries listed below

• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆269Updated 9 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• hiranumn / IntegratedGradients
  Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…
  ☆217Updated 7 years ago
• alvarouc / polyssifier
  run a multitude of classifiers on you data and get an AUC report
  ☆68Updated 2 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆489Updated 8 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• stavskal / ADASYN
  Adaptive Synthetic Sampling Approach for Imbalanced Learning
  ☆134Updated 2 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated 2 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆425Updated 2 years ago
• ContextLab / hypertools-paper-notebooks
  Supporting notebooks and data from hypertools paper
  ☆145Updated 7 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
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆334Updated 2 years ago
• esafak / mca
  Multiple correspondence analysis
  ☆181Updated 2 months ago
• adebayoj / fairml
  ☆366Updated 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
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆102Updated 5 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆126Updated 8 months ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆225Updated 6 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆119Updated 9 years ago
• BeenKim / MMD-critic
  ☆135Updated 6 years ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆117Updated 6 months ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 7 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆505Updated 4 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆58Updated 3 years ago
• kylemcdonald / Coloring-t-SNE
  Exploration of methods for coloring t-SNE.
  ☆218Updated 8 years ago
• andyljones / thresholdout
  Mirror of the scripts for Dwork et al's paper on holdout reuse
  ☆38Updated 10 years ago
• dominiek / python-bhtsne
  Python module for Barnes-Hut implementation of t-SNE (Cython)
  ☆114Updated 7 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆241Updated 7 years ago