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
Sorting:
- Continuous-time Markov model with discrete observations☆11Updated 9 years ago
- Source code for the ACML 2019 paper "Functional Isolation Forest".☆21Updated 2 years ago
- ☆16Updated 3 years ago
- ☆9Updated 2 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- Bayesian or-of-and☆34Updated 3 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Estimators to perform off-policy evaluation☆13Updated 8 months ago
- Learning clinical-decision rules with interpretable models.☆20Updated last year
- ☆18Updated 3 years ago
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- ☆16Updated 9 months ago
- Code and webpages for our study on teaching humans to defer to an AI☆11Updated last year
- ☆37Updated 3 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 2 years ago
- Duke Natural Language Processing Winter School 2020☆21Updated 5 years ago
- Empirical Likelihood for Contextual Bandits☆12Updated 4 years ago
- Simple ranking metrics for PyTorch on CPU or GPU☆15Updated 4 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 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
- ☆13Updated last year
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 5 years ago
- Efficient Conformal Prediction via Cascaded Inference with Expanded Admission☆20Updated 3 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- repository for R library "sbrlmod"☆25Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 2 years ago
- Tools for robustness evaluation in interpretability methods☆10Updated 3 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated last year