jphall663
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A curated list of awesome responsible machine learning resources.
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gai_risk_management Public
A place for ideas and drafts related to GAI risk management.
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diabetes_use_case Public
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
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GWU_data_mining Public
Materials for GWU DNSC 6279 and DNSC 6290.
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Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
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GWU_rml Public
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GWU_DNSC_6301_project Public
Example project for DNSC 6301
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Some Basic (Hopefully Not Terrible) Data Visualization Rules and Links
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responsible_xai Public
Guidelines for the responsible use of explainable AI and machine learning.
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DNSC-6301-Project_Group-21 Public
Forked from Kee66/DNSC-6301-Project_Group-21DNSC 6301 Project_Group 21
Jupyter Notebook MIT License UpdatedAug 29, 2022 -
Hello-world Public
Forked from Agnes-Ngue/Hello-worldMy first repository on GitHub.
Jupyter Notebook MIT License UpdatedAug 28, 2022 -
Example code and data for XGBoost random grid search.
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secure_ML_ideas Public
Practical ideas on securing machine learning models
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aequitas Public
Forked from dssg/aequitasBias and Fairness Audit Toolkit
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jsm_2019 Public
Slides for JSM 2019 preso on model debugging strategies
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ds_interview_qs Public
Some Data Science Interview Questions (by Me and Former Colleagues at SAS)
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hc_ml Public
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
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enlighten-apply Public
Forked from sassoftware/enlighten-applyExample code and materials that illustrate applications of SAS machine learning techniques.
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xai_misconceptions Public
Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
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corr_graph Public
Short example for creating a correlation graph with Pandas and Gephi.
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h2oworld_sf_2019 Public
Human-Centered ML Presentation for H2O World SF 2019.
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jsm_2018_paper Public
Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539
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jsm_2018_slides Public
Slides for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539
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mli-resources Public
Forked from h2oai/mli-resourcesMachine Learning Interpretability Resources
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Essay about science and data "science".
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lime_xgboost Public
Simple package for creating LIMEs for XGBoost
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automl_resources Public
A running list of links for AutoML - very unofficial and incomplete
3 UpdatedJan 8, 2018 -
bellarmine_py_intro Public
Code and materials for Python intro. course.