feedzai / fairgbmLinks
Train Gradient Boosting models that are both high-performance *and* Fair!
☆105Updated last year
Alternatives and similar repositories for fairgbm
Users that are interested in fairgbm are comparing it to the libraries listed below
Sorting:
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆126Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆67Updated 11 months ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆221Updated last week
- automatic data slicing☆34Updated 3 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 9 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- Phi_K correlation analyzer library☆164Updated 4 months ago
- Python Meta-Feature Extractor package.☆133Updated last year
- Easy Custom Losses for Tree Boosters using Pytorch☆34Updated 4 years ago
- A library of Reversible Data Transforms☆127Updated this week
- A python library for hierarchical classification compatible with scikit-learn☆133Updated 3 months ago
- Missing data amputation and exploration functions for Python☆71Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- AutoML for causal inference.☆223Updated 6 months ago
- ☆199Updated last month
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆210Updated 8 months ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆165Updated 9 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆291Updated last year
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆157Updated 2 years ago
- Streamline scikit-learn model comparison.☆145Updated 2 years ago
- DataFrame support for scikit-learn.☆63Updated last year
- implementation of Cyclic Boosting machine learning algorithms☆89Updated 9 months ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆299Updated 2 months ago