thampiman / interpretable-ai-bookLinks
Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)
☆64Updated 4 years ago
Alternatives and similar repositories for interpretable-ai-book
Users that are interested in interpretable-ai-book are comparing it to the libraries listed below
Sorting:
- Explainable AI with Python, published by Packt☆165Updated last month
- Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham☆62Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆297Updated 2 years ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago
- ☆89Updated 2 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆221Updated 2 years ago
- legend☆208Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- ☆212Updated 4 years ago
- Code and documentation for experiments in the TreeExplainer paper☆189Updated 6 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Deep Learning and XAI Techniques for Anomaly Detection, published by Packt☆38Updated last month
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆267Updated 2 months ago
- Enhancing Deep Learning with Bayesian Inference, published by Packt☆44Updated last month
- Rule Extraction Methods for Interactive eXplainability☆48Updated 3 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last month
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆97Updated last year
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23Updated 6 years ago
- Course material for 1RT700 Statistical Machine Learning☆64Updated 2 months ago
- In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results o…☆28Updated 2 years ago
- Interpretable Machine Learning with Python, published by Packt☆476Updated last month
- Graph Machine Learning, published by Packt☆318Updated last month
- A list of (post-hoc) XAI for time series☆168Updated last year
- ☆29Updated last year
- Experiments on Tabular Data Models☆282Updated 2 years ago
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆46Updated 2 years ago
- Active Bayesian Causal Inference (Neurips'22)☆59Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆46Updated 6 months ago
- TimeSHAP explains Recurrent Neural Network predictions.☆193Updated last year
- Overview of different model interpretability libraries.☆51Updated 3 years ago