azreasoners / NeurASP
☆44Updated last year
Alternatives and similar repositories for NeurASP:
Users that are interested in NeurASP are comparing it to the libraries listed below
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- The Neuro-Symbolic Forward Reasoner☆22Updated last year
- ☆37Updated 5 months ago
- Neuro-Symbolic Hierarchical Rule Induction☆12Updated 2 years ago
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated 10 months ago
- Experimentation framework for Popper☆22Updated 11 months ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆49Updated last year
- A tool for explainability and debugging in Answer Set Programming.☆13Updated 3 weeks ago
- ☆34Updated 3 months ago
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- Manipulate NNF (Negation Normal Form) logical sentences☆17Updated 2 years ago
- Python package for Sentential Decision Diagrams (SDD)☆56Updated last month
- ☆31Updated last year
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆44Updated last year
- Python notebooks for a tutorial on neurosymbolic programming☆68Updated last year
- Conditional Theorem Proving☆53Updated 3 years ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated last year
- DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predi…☆228Updated 8 months ago
- ☆17Updated 2 years ago
- Dataset and code for paper: ``ROAD-R: The Autonomous Driving Dataset with Logical Requirements''☆14Updated last year
- Neural Logic Inductive Learning☆42Updated 2 years ago
- ☆24Updated 4 years ago
- From pixels to symbolic rule learning☆12Updated 3 years ago
- A public repository for "Write, Execute, Assess: Program Synthesis With a REPL" project by Kevin Ellis, Max Nye, Yewen Pu, Felix Sosa, Jo…☆38Updated 4 years ago
- ☆19Updated 2 months ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆60Updated 4 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 8 months ago
- Neural-Grammar-Symbolic Learning with Back-Search☆53Updated 8 months ago
- Official implementation of Teaching Temporal Logics to Neural Networks (https://arxiv.org/abs/2003.04218)☆30Updated 3 years ago