PAIR-code / what-if-tool
Source code/webpage/demos for the What-If Tool
☆942Updated 6 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
- Algorithms for explaining machine learning models☆2,473Updated this week
- python partial dependence plot toolbox☆851Updated 6 months ago
- Interpretability and explainability of data and machine learning models☆1,671Updated 3 weeks ago
- A toolkit that streamlines and automates the generation of model cards☆431Updated last year
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆348Updated 2 months ago
- A model-agnostic visual debugging tool for machine learning☆1,657Updated last month
- Library for exploring and validating machine learning data☆768Updated last week
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,388Updated 4 months ago
- Bias Auditing & Fair ML Toolkit☆710Updated 6 months ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆640Updated 4 months ago
- XAI - An eXplainability toolbox for machine learning☆1,158Updated 3 years ago
- A Python package to assess and improve fairness of machine learning models.☆2,033Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,768Updated 2 years ago
- Algorithms for outlier, adversarial and drift detection☆2,322Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,441Updated 2 weeks ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆426Updated last month
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆674Updated 9 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆427Updated 7 months ago
- H2O.ai Machine Learning Interpretability Resources☆488Updated 4 years ago
- OmniXAI: A Library for eXplainable AI☆906Updated 8 months ago
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆504Updated 3 months ago
- Data Analysis Baseline Library☆726Updated 3 months ago
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆610Updated last year
- moDel Agnostic Language for Exploration and eXplanation☆1,414Updated last month
- Curating a list of AutoML-related research, tools, projects and other resources☆882Updated 5 months ago
- Feature engineering package with sklearn like functionality☆2,012Updated this week
- Version control for machine learning☆1,660Updated 3 weeks ago
- EvalML is an AutoML library written in python.☆804Updated this week
- TFX is an end-to-end platform for deploying production ML pipelines☆2,136Updated last week