Yu-Group / imodels-experiments
Experiments with experimental rule-based models to go along with imodels.
☆16Updated last week
Alternatives and similar repositories for imodels-experiments:
Users that are interested in imodels-experiments are comparing it to the libraries listed below
- Continuous-time Markov model with discrete observations☆11Updated 9 years ago
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- ☆16Updated 2 years ago
- A collection of implementations of fair ML algorithms☆12Updated 7 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)☆12Updated 2 years ago
- [Paper] Repository for the paper "On a Guided Nonnegative matrix factorization," published in IEEE ICASSP 2021.☆10Updated 2 years ago
- Bayesian or-of-and☆34Updated 3 years ago
- Learning clinical-decision rules with interpretable models.☆20Updated last year
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated 2 years ago
- ☆16Updated 8 months ago
- Code and webpages for our study on teaching humans to defer to an AI☆11Updated last year
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 2 years ago
- Estimators to perform off-policy evaluation☆13Updated 6 months ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆13Updated 2 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Updated 3 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆19Updated last year
- Source code for the ACML 2019 paper "Functional Isolation Forest".☆21Updated 2 years ago
- repository for R library "sbrlmod"☆25Updated 10 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 10 months ago
- ☆29Updated 11 months ago
- ☆13Updated last year
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Code for blog posts.☆19Updated last year
- AutoML Two-Sample Test☆19Updated 2 years ago
- Measuring if attention is explanation with ROAR☆22Updated 2 years ago
- Here we will post recitation materials.☆9Updated 5 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- Reading history for Fair ML Reading Group in Melbourne☆36Updated 3 years ago