alexeyignatiev / xreason
XReason - formal reasoning about explanations for ML models
☆16Updated last year
Alternatives and similar repositories for xreason:
Users that are interested in xreason are comparing it to the libraries listed below
- Manipulate NNF (Negation Normal Form) logical sentences☆17Updated 2 years ago
- SAT-based miner of smallest size decision sets☆12Updated 4 years ago
- Python package for Sentential Decision Diagrams (SDD)☆55Updated 2 weeks ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆48Updated last year
- ☆27Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- NeuroCore: Guiding CDCL with Unsat-Core Predictions☆44Updated 5 years ago
- DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, out…☆86Updated 7 months ago
- ☆43Updated last year
- ☆31Updated 3 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or c…☆31Updated 2 weeks ago
- A Python API for the MiniSat and MiniCard constraint solvers.☆19Updated last year
- [TMLR 2024] G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks☆34Updated 10 months ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Versatile Verification of Tree Ensembles☆17Updated 9 months ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- PyTorch implementation of NeuroSAT☆28Updated last year
- ☆19Updated 2 years ago
- A continuous local search SAT solver based on Fourier expansion for hybrid Boolean constraints.☆12Updated 5 months ago
- VNN Neural Network Verification Competition 2021☆36Updated 3 years ago
- ☆36Updated 4 months ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- CAV'22 paper to speed up Neural Network Verification.☆14Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 7 months ago
- ☆17Updated 2 years ago
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16Updated 6 years ago
- A new framework to generate interpretable classification rules☆17Updated 2 years ago
- Python Implementation of STreeD: Dynamic Programming Approach for Optimal Decision Trees with Separable objectives and Constraints☆16Updated last month
- ☆22Updated this week