interpretml / gam-changer
Editing machine learning models to reflect human knowledge and values
☆124Updated last year
Alternatives and similar repositories for gam-changer:
Users that are interested in gam-changer are comparing it to the libraries listed below
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- Public home of pycorels, the python binding to CORELS☆78Updated 4 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆213Updated 2 months ago
- Competing Risks and Survival Analysis☆94Updated this week
- Missing data amputation and exploration functions for Python☆68Updated 2 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆171Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆65Updated 9 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆321Updated 3 months ago
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 7 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- Model Agnostic Counterfactual Explanations☆88Updated 2 years ago
- A library of Reversible Data Transforms☆123Updated this week
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆207Updated 5 months ago
- Probabilistic Gradient Boosting Machines☆149Updated last year
- AutoML for causal inference.☆220Updated 3 months ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆103Updated 9 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 2 years ago
- Python package for Imputation Methods☆248Updated last year
- Expanding Explainable K-Means Clustering☆95Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- A toolbox for fair and explainable machine learning☆55Updated 9 months ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- A power-full Shapley feature selection method.☆204Updated 11 months ago
- Clustering for mixed-type data☆99Updated 8 months ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- For calculating global feature importance using Shapley values.☆267Updated this week
- ☆199Updated last week
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆428Updated 2 months ago