navdeep-G / interpretable-mlLinks
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
☆21Updated 2 years ago
Alternatives and similar repositories for interpretable-ml
Users that are interested in interpretable-ml are comparing it to the libraries listed below
Sorting:
- Comparing Polars to Pandas and a small introduction☆44Updated 4 years ago
- ☆15Updated 6 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- ☆37Updated 3 weeks ago
- A selection of business datasets☆18Updated 5 years ago
- Bayesian statistics seminars☆30Updated 8 years ago
- Python implementation of R package breakDown☆43Updated last year
- Simple validator for submissions to DrivenData competitions☆19Updated 5 years ago
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Python wrapper for a C++ Double Metaphone☆15Updated 2 weeks ago
- State management framework for Data Science & Analytics☆19Updated 5 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated last year
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- ☆14Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- The Path of the PyData Ninja☆16Updated 9 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Collaboration app for sharing and reviewing jupyter notebooks☆16Updated last week
- Set-oriented Operations in Pandas☆24Updated 5 years ago
- Python bindings for Matroid API☆16Updated 4 months ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- bayesian graphical modelling and a bit of do-calculus for discrete data.☆27Updated 5 years ago
- This is all my random garbage.☆26Updated last year
- Data Scientist code test☆19Updated 4 years ago
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 4 years ago
- Using NLP to find and extract specific information from long, unstructured documents☆15Updated 6 years ago