Alternatives and similar repositories for iml

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

• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 5 months ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆78Updated 4 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 3 months ago
• ArtificialIntelligenceToolkit / conx
  The On-Ramp to Deep Learning
  ☆97Updated last year
• BeenKim / MMD-critic
  ☆134Updated 6 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• adebayoj / fairml
  ☆366Updated 4 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• usnistgov / pmml_pymcBN
  ☆41Updated 7 years ago
• paris-saclay-cds / ramp-workflow
  Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
  ☆72Updated 5 months ago
• 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
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated 2 years ago
• nextml / NEXT
  NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…
  ☆163Updated last year
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• marcotcr / anchor-experiments
  Experiments for AAAI anchor paper
  ☆63Updated 7 years ago
• EpistasisLab / ReBATE
  Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…
  ☆33Updated 7 years ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆175Updated 3 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• maxsklar / BayesPy
  Bayesian Inference Tools in Python
  ☆109Updated 2 years ago