xiyanghu / OSDTLinks
Optimal Sparse Decision Trees
☆104Updated 2 years ago
Alternatives and similar repositories for OSDT
Users that are interested in OSDT are comparing it to the libraries listed below
Sorting:
- Generalized Optimal Sparse Decision Trees☆65Updated last year
- Born-Again Tree Ensembles: Transforms a random forest into a single, minimal-size, tree with exactly the same prediction function in the …☆65Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 10 months ago
- simple customizable risk scores in python☆137Updated 2 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆99Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 2 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- ☆100Updated 3 weeks ago
- Multi-Objective Counterfactuals☆42Updated 3 years ago
- An algorithm for learning optimal decision trees, with Python interface☆65Updated 2 years ago
- Learning Certifiably Optimal Rule Lists☆175Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Python Meta-Feature Extractor package.☆133Updated last year
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- Generative Forests in Python☆35Updated 2 years ago
- A toolbox for fair and explainable machine learning☆55Updated last year
- ☆79Updated 2 weeks ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆59Updated last year
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 4 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago
- An extension of CatBoost to probabilistic modelling☆145Updated last year
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆31Updated 3 years ago
- ☆74Updated last year
- The stream-learn is an open-source Python library for difficult data stream analysis.☆63Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 6 months ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆21Updated last year
- python tools to check recourse in linear classification☆76Updated 4 years ago