Joeyonng / decision-rules-networkLinks
This repository contains the source code of the paper "Learning Accurate and Interpretable Decision Rule Sets from Neural Networks".
☆13Updated 3 years ago
Alternatives and similar repositories for decision-rules-network
Users that are interested in decision-rules-network are comparing it to the libraries listed below
Sorting:
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆123Updated last year
- Example causal datasets with consistent formatting and ground truth☆87Updated 3 months ago
- CPDAG Estimation using PC-Algorithm☆95Updated 3 years ago
- ☆93Updated 2 years ago
- Causal discovery algorithms and tools for implementing new ones☆223Updated 2 weeks ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆150Updated 11 months ago
- Causal discovery for time series☆99Updated 3 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆59Updated 4 months ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆637Updated last year
- ☆18Updated 5 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆216Updated 3 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆49Updated 6 years ago
- Python package for causal discovery based on LiNGAM.☆436Updated 3 weeks ago
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆70Updated 4 years ago
- ☆204Updated 2 years ago
- LOcal Rule-based Exlanations☆51Updated last year
- CSuite: A Suite of Benchmark Datasets for Causality☆70Updated 2 years ago
- ☆313Updated 3 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆76Updated 3 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 5 months ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 4 years ago
- Makes algorithms/code in Tetrad available in Python via JPype☆80Updated last month
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago
- Versatile Verification of Tree Ensembles☆17Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆13Updated 5 months ago
- Granger causality discovery for neural networks.☆222Updated 4 years ago
- Conformalized Quantile Regression☆280Updated 3 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 3 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,184Updated last year