interpretable-ml / iml

Related projects: ⓘ

• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆41Updated last year
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 7 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆47Updated 5 months ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 8 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆90Updated 3 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 4 years ago
• powerscorinne / GLRM
  ☆97Updated 6 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆27Updated 5 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• BeenKim / MMD-critic
  ☆130Updated 5 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆122Updated 6 years ago
• IBCNServices / GENESIM
  [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…
  ☆78Updated 3 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 2 years ago
• paris-saclay-cds / ramp-workflow
  Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
  ☆68Updated 6 months ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆146Updated last month
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 3 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆58Updated 7 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆67Updated 5 years ago
• marcotcr / anchor-experiments
  Experiments for AAAI anchor paper
  ☆61Updated 6 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆37Updated 4 years ago
• Jianbo-Lab / L2X
  ☆123Updated 3 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• kafluette / fastfood
  ☆15Updated this week
• georgian-io / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆75Updated 3 years ago
• evidation-health / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆23Updated last year
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated last month