MI2DataLab / pyBreakDownLinks
Python implementation of R package breakDown
☆43Updated last year
Alternatives and similar repositories for pyBreakDown
Users that are interested in pyBreakDown are comparing it to the libraries listed below
Sorting:
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 5 years ago
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Interpretable ML package designed to explain any machine learning model.☆61Updated 6 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆24Updated 4 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- Documentation for the DALEX project☆36Updated last year
- ☆15Updated 6 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 6 years ago
- General Interpretability Package☆58Updated 2 years ago
- Visualization ideas for data science☆20Updated 7 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- PyDataLondonTutorial☆26Updated 9 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 5 months ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- WIP predicted survival functions☆37Updated 5 years ago
- ☆37Updated last month
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago