christophM / interpretable-ml-bookLinks
Book about interpretable machine learning
☆5,061Updated 4 months ago
Alternatives and similar repositories for interpretable-ml-book
Users that are interested in interpretable-ml-book are comparing it to the libraries listed below
Sorting:
- A curated list of awesome responsible machine learning resources.☆3,854Updated 2 weeks ago
- Fit interpretable models. Explain blackbox machine learning.☆6,646Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,370Updated 6 months ago
- Algorithms for explaining machine learning models☆2,550Updated 2 months ago
- Lime: Explaining the predictions of any machine learning classifier☆11,965Updated last year
- ☆915Updated 2 years ago
- PyTorch tutorials and best practices.☆1,693Updated 4 months ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,385Updated 10 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,095Updated last week
- XAI - An eXplainability toolbox for machine learning☆1,195Updated 3 years ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,448Updated last year
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆839Updated 3 years ago
- An open source python library for automated feature engineering☆7,520Updated this week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆7,664Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 4 months ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,439Updated last year
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,507Updated 2 months ago
- Lectures for INFO8010 Deep Learning, ULiège☆1,266Updated 3 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,437Updated 3 weeks ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,053Updated 2 months ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,631Updated 5 years ago
- A python library for decision tree visualization and model interpretation.☆3,088Updated 5 months ago
- Uplift modeling and causal inference with machine learning algorithms☆5,545Updated last month
- python partial dependence plot toolbox☆860Updated 11 months ago
- A collection of various deep learning architectures, models, and tips☆17,176Updated last year
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,635Updated 4 years ago
- HiPlot makes understanding high dimensional data easy☆2,798Updated last year
- A collection of infrastructure and tools for research in neural network interpretability.☆4,701Updated 2 years ago
- A game theoretic approach to explain the output of any machine learning model.☆24,270Updated 2 weeks ago
- A library of sklearn compatible categorical variable encoders☆2,455Updated 2 months ago