h2oai / mli-resourcesLinks
H2O.ai Machine Learning Interpretability Resources
☆490Updated 4 years ago
Alternatives and similar repositories for mli-resources
Users that are interested in mli-resources are comparing it to the libraries listed below
Sorting:
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆680Updated last year
- ☆919Updated 2 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆812Updated 3 years ago
- ☆368Updated 4 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 6 months ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- python partial dependence plot toolbox☆861Updated last year
- ☆762Updated 2 years ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆435Updated 9 months ago
- Resources for Data Science Process management☆205Updated 6 years ago
- Bias Auditing & Fair ML Toolkit☆738Updated 2 weeks ago
- Python implementation of the rulefit algorithm☆425Updated 2 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆840Updated 3 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆126Updated 5 years ago
- Presentations from H2O meetups & conferences by the H2O.ai team☆410Updated last month
- Repo for the ML_Insights python package☆153Updated 7 months ago
- machine learning with logical rules in Python☆651Updated last year
- XAI - An eXplainability toolbox for machine learning☆1,211Updated last week
- detect demographic differences in the output of machine learning models or other assessments☆320Updated 5 years ago
- ML-Ensemble – high performance ensemble learning☆860Updated 2 years ago
- CostSensitiveClassification Library in Python☆205Updated 5 years ago
- Recipes for Driverless AI☆254Updated last week
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatio…☆689Updated 2 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Updated 6 years ago
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago
- A curated list of gradient boosting research papers with implementations.☆1,034Updated last year
- A Python library for dynamic classifier and ensemble selection☆495Updated last year
- WTTE-RNN a framework for churn and time to event prediction☆780Updated 5 years ago
- moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)☆1,451Updated last month