pbiecek / xai_storiesLinks
XAI Stories. Case studies for eXplainable Artificial Intelligence
☆31Updated 5 years ago
Alternatives and similar repositories for xai_stories
Users that are interested in xai_stories are comparing it to the libraries listed below
Sorting:
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 5 years ago
- Causing: CAUsal INterpretation using Graphs☆61Updated last week
- How to use SHAP values for better cluster analysis☆60Updated 3 years ago
- Code for blog posts.☆20Updated 2 years ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆36Updated 2 weeks ago
- Python library for Ceteris Paribus Plots (What-if plots)☆28Updated 4 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 3 months ago
- Helpers for scikit learn☆16Updated 3 years ago
- ☆18Updated 5 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Documentation for the DALEX project☆36Updated last year
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- SmartML: Supervised Machine Learning Automation in R☆26Updated 5 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 5 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated 2 years ago
- Benchmark tabular Deep Learning models against each other and other non-DL techniques☆57Updated 4 years ago
- Multi-Objective Counterfactuals☆43Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated 2 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated 2 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 11 months ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 5 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆33Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- A Python package for unwrapping ReLU DNNs☆68Updated 2 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Updated 6 years ago