jphall663 / hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
☆22Updated 5 years ago
Alternatives and similar repositories for hc_ml:
Users that are interested in hc_ml are comparing it to the libraries listed below
- ☆35Updated this week
- Practical ideas on securing machine learning models☆36Updated 3 years ago
- Python implementation of R package breakDown☆42Updated last year
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 4 months ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 4 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆69Updated 5 years ago
- Documentation for the DALEX project☆36Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Know your ML Score based on Sculley's paper☆34Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- ☆15Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆34Updated 4 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Shapley Values with H2O AutoML Example (ML Interpretability)☆19Updated 6 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- Data Scientist code test☆19Updated 4 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated 9 months ago
- ☆11Updated 6 years ago
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 4 years ago
- General Interpretability Package☆58Updated 2 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆34Updated 4 years ago