DBrughmans / NICE

Related projects ⓘ

Alternatives and complementary repositories for NICE

• ADMAntwerp / NICE
  ☆10Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated 10 months ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆62Updated 8 months ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆75Updated last year
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated last year
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated 3 months ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆100Updated last year
• vidalt / DRAFT
  DRAFT : Dataset Reconstruction Attack From Trained ensembles. Source code associated with the paper "Trained Random Forests Completely Re…
  ☆17Updated 5 months ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 3 years ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 2 months ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆75Updated 4 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated last year
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆76Updated 8 months ago
• aia-uclouvain / pydl8.5
  An algorithm for learning optimal decision trees, with Python interface
  ☆61Updated last year
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆31Updated last year
• 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
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆100Updated 2 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆40Updated 2 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆75Updated 3 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆132Updated last year
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆28Updated 6 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆29Updated 3 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆97Updated this week
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆57Updated 3 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆62Updated 6 months ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated last year
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆121Updated this week