Alternatives and similar repositories for py-ciu

Users that are interested in py-ciu are comparing it to the libraries listed below

• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆66Updated 2 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated last week
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆30Updated 3 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 3 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• dbvis-ukon / explainer
  The official repository containing the source code to the explAIner publication.
  ☆30Updated last year
• interpretml / slicer
  Unified slicing for all Python data structures.
  ☆35Updated 3 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• dandls / moc
  Multi-Objective Counterfactuals
  ☆41Updated 2 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated last year
• MarcelRobeer / explabox
  Explore/examine/explain/expose your model with the explabox!
  ☆16Updated last month
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆109Updated last year
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆44Updated 5 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 4 months ago
• jpmorganchase / cf-shap
  Counterfactual SHAP: a framework for counterfactual feature importance
  ☆20Updated last year
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• khuyentran1401 / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆19Updated 3 years ago
• michael-aloys / awesome-weak-supervision
  ☆39Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆67Updated 11 months ago
• googleinterns / controllabledl
  ☆37Updated 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
  ☆77Updated 2 years ago
• ThalesGroup / shapkit
  Interpret machine learning predictions using agnostic local feature importance based on Shapley Values.
  ☆20Updated last month
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 4 years ago
• facebookarchive / fronni
  machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast
  ☆16Updated 3 years ago