PAIR-code / what-if-toolLinks
Source code/webpage/demos for the What-If Tool
☆962Updated 10 months ago
Alternatives and similar repositories for what-if-tool
Users that are interested in what-if-tool are comparing it to the libraries listed below
Sorting:
- A toolkit that streamlines and automates the generation of model cards☆434Updated last year
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆351Updated 2 weeks ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆432Updated 5 months ago
- XAI - An eXplainability toolbox for machine learning☆1,187Updated 3 years ago
- A model-agnostic visual debugging tool for machine learning☆1,667Updated 5 months ago
- Algorithms for explaining machine learning models☆2,532Updated last month
- Library for exploring and validating machine learning data☆772Updated 2 weeks ago
- Interpretability and explainability of data and machine learning models☆1,709Updated 4 months ago
- Bias Auditing & Fair ML Toolkit☆724Updated last month
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆437Updated 10 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- Library for Semi-Automated Data Science☆339Updated 2 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆804Updated 2 years ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆651Updated 3 months ago
- python partial dependence plot toolbox☆860Updated 10 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,422Updated 2 weeks ago
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆507Updated 3 months ago
- A Python package to assess and improve fairness of machine learning models.☆2,091Updated this week
- Algorithms for outlier, adversarial and drift detection☆2,403Updated last month
- OmniXAI: A Library for eXplainable AI☆933Updated 11 months ago
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆613Updated 2 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Updated last year
- Code for the TCAV ML interpretability project☆642Updated 3 weeks ago
- Recipes for Driverless AI☆249Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,482Updated last week
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆171Updated 2 years ago
- Human-explainable AI.☆527Updated last week
- Open Source ML Model Versioning, Metadata, and Experiment Management☆1,727Updated 11 months ago
- Experiment tracking, ML developer tools☆883Updated 2 months ago