HMProenca / RuleList

Related projects ⓘ

Alternatives and complementary repositories for RuleList

• Liam-E2 / RotationForest
  A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.
  ☆20Updated 4 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 2 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• meelgroup / MLIC
  A new framework to generate interpretable classification rules
  ☆17Updated last year
• udellgroup / controlburn
  ☆17Updated last year
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆63Updated 8 months ago
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆12Updated 3 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆51Updated last year
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆36Updated 3 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated last year
• tom-beer / Outcome-Adaptive-LASSO
  Python implementation of the paper 'Outcome-Adaptive Lasso: Variable Selection for Causal Inference'
  ☆15Updated 4 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆55Updated 3 weeks ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆57Updated 5 months ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆24Updated 2 years ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆62Updated 8 months ago
• hengzhe-zhang / scikit-obliquetree
  Oblique Decision Tree in Python
  ☆16Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆68Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆126Updated 4 months ago
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆40Updated 5 months ago
• nogueirs / JMLR2018
  The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.
  ☆17Updated 6 years ago
• amber0309 / ANM-MM
  Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"
  ☆22Updated 5 years ago
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 2 years ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 2 months ago
• digital-idiot / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆15Updated 9 months ago
• flemmerich / pysubgroup
  ☆58Updated last week
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• guillermo-navas-palencia / clogistic
  Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.
  ☆33Updated last year
• nathanwang000 / Shapley-Flow
  ☆48Updated last year