jphall663 / kdd_2019Links
Paper and talk from KDD 2019 XAI Workshop
☆20Updated 5 years ago
Alternatives and similar repositories for kdd_2019
Users that are interested in kdd_2019 are comparing it to the libraries listed below
Sorting:
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- ☆37Updated 3 months ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 6 years ago
- State management framework for Data Science & Analytics☆19Updated 5 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 5 years ago
- ☆23Updated last year
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 5 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆25Updated 4 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Repo for the ML_Insights python package☆152Updated 4 months ago
- Visualization ideas for data science☆20Updated 7 years ago
- this repo might get accepted☆28Updated 4 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆46Updated 4 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- ☆20Updated 4 years ago
- Comparing different performance estimation methods for time series forecasting tasks☆37Updated 3 months ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Data Scientist code test☆19Updated 5 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago