XAI Stories. Case studies for eXplainable Artificial Intelligence
☆31Oct 14, 2020Updated 6 years ago
Alternatives and similar repositories for xai_stories
Users that are interested in xai_stories are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆29Mar 25, 2021Updated 5 years ago
- Interactive XAI dashboard☆23Jan 3, 2024Updated 2 years ago
- Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020☆54Aug 29, 2021Updated 5 years ago
- [제 11회 투빅스 컨퍼런스] AM I OK ? - 전문의 답변 기반 심리진단 AI☆12Jan 19, 2021Updated 5 years ago
- Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2021/2022☆14Jun 16, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A rules induction system for data mining and exploratory data analysis☆12Jul 17, 2024Updated 2 years ago
- Monitoring of AI Regulations☆19May 30, 2021Updated 5 years ago
- Python interface to arules for association rule mining☆11Sep 28, 2026Updated 2 weeks ago
- A collection of examples for sports analytics with Exasol☆12Mar 18, 2020Updated 6 years ago
- Surrogate Assisted Feature Extraction in R☆28Aug 13, 2022Updated 4 years ago
- ☆13Nov 21, 2022Updated 3 years ago
- Sparse graph attention☆17Sep 20, 2018Updated 8 years ago
- R package EloML: Elo rating system for machine learning models☆28Jun 17, 2022Updated 4 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆29Apr 23, 2021Updated 5 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- some tutorials for blog: simonjisu.github.io☆23Mar 25, 2021Updated 5 years ago
- Lightweight Machine Learning Classics with R (Book Draft)☆17Jun 13, 2022Updated 4 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- ComicBooks in Beta and Bit series☆13Dec 8, 2023Updated 2 years ago
- Obtain historical and near real time data from Yahoo Finance☆20Sep 16, 2026Updated last month
- Lecture notes for 'Interpretable Machine Learning' at UoW. Summer semester 2020/2021☆13Jun 22, 2021Updated 5 years ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆104May 13, 2026Updated 5 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆73Jan 26, 2023Updated 3 years ago
- 《XAI 설명 가능한 인공지능, 인공지능을 해부하다》 예제 코드☆43Dec 8, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Data generator for Arena - interactive XAI dashboard☆30Sep 30, 2020Updated 6 years ago
- Effects and Importances of Model Ingredients☆39Mar 15, 2023Updated 3 years ago
- A logger for R☆16Jun 19, 2023Updated 3 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆56Oct 5, 2020Updated 6 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆33Nov 18, 2023Updated 2 years ago
- Material for the Explainable Machine Learning Workshop☆18Nov 1, 2019Updated 6 years ago
- Naver sentiment movie corpus classification☆17Oct 12, 2021Updated 5 years ago
- ⛩ All about Korean Transformers (information and tutorial)☆17Jun 21, 2022Updated 4 years ago
- Surrogate Assisted Feature Extraction☆37Aug 19, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Machine Learning: From Theory to Practise☆21Apr 19, 2017Updated 9 years ago
- Create Shiny application with model exploration from explainers☆19Jan 27, 2021Updated 5 years ago
- Multi Channel Attribution☆10Mar 7, 2017Updated 9 years ago
- Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME met…☆34Aug 21, 2019Updated 7 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆359Apr 15, 2026Updated 6 months ago
- ☆11May 12, 2023Updated 3 years ago
- eXplainable Machine Learning 2022 at MIM UW☆20Jul 1, 2023Updated 3 years ago