SeldonIO / alibiLinks
Algorithms for explaining machine learning models
☆2,602Updated 2 months ago
Alternatives and similar repositories for alibi
Users that are interested in alibi are comparing it to the libraries listed below
Sorting:
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,480Updated 5 months ago
- Interpretability and explainability of data and machine learning models☆1,749Updated 10 months ago
- Algorithms for outlier, adversarial and drift detection☆2,472Updated 2 weeks ago
- XAI - An eXplainability toolbox for machine learning☆1,212Updated last month
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,559Updated last month
- Source code/webpage/demos for the What-If Tool☆984Updated last month
- python partial dependence plot toolbox☆860Updated last year
- Fit interpretable models. Explain blackbox machine learning.☆6,747Updated last week
- Feature engineering package with sklearn like functionality☆2,174Updated last month
- moDel Agnostic Language for Exploration and eXplanation☆1,451Updated 2 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆812Updated 3 years ago
- OmniXAI: A Library for eXplainable AI☆959Updated last year
- A Python package to assess and improve fairness of machine learning models.☆2,181Updated last week
- Bias Auditing & Fair ML Toolkit☆745Updated 2 weeks ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆436Updated 10 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,410Updated last year
- A machine learning package for streaming data in Python. The other ancestor of River.☆789Updated 2 years ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,110Updated 3 weeks ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,462Updated 4 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 8 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,500Updated this week
- A modular active learning framework for Python☆2,327Updated last year
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,725Updated last month
- Extra blocks for scikit-learn pipelines.☆1,373Updated 3 weeks ago
- nannyml: post-deployment data science in python☆2,119Updated 5 months ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆841Updated 3 years ago
- A model-agnostic visual debugging tool for machine learning☆1,671Updated 10 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,818Updated last month
- EvalML is an AutoML library written in python.☆836Updated 3 weeks ago
- ☆919Updated 2 years ago