Alternatives and similar repositories for treeexplainer-study:

Users that are interested in treeexplainer-study are comparing it to the libraries listed below

• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆267Updated this week
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆164Updated 2 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆420Updated last year
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆69Updated 4 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆130Updated 4 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆147Updated 4 years ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆147Updated 7 months ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆336Updated last year
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆98Updated 11 months ago
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆59Updated 4 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆223Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆196Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆172Updated last year
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆231Updated 2 weeks ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆359Updated 3 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆66Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆107Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆59Updated 5 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆377Updated 8 months ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆83Updated 6 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆132Updated last year
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆104Updated last year
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆181Updated 3 years ago
• Jianbo-Lab / L2X
  ☆125Updated 3 years ago