ml-research / nsfr
The Neuro-Symbolic Forward Reasoner
☆22Updated last year
Related projects ⓘ
Alternatives and complementary repositories for nsfr
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆26Updated 11 months ago
- ☆15Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆19Updated last year
- ☆40Updated last year
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆16Updated 8 months ago
- ☆33Updated 8 months ago
- ☆35Updated last week
- ☆20Updated 10 months ago
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆90Updated last month
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆14Updated last year
- Neuro-Symbolic Hierarchical Rule Induction☆11Updated last year
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated 5 months ago
- From pixels to symbolic rule learning☆12Updated 3 years ago
- Experimentation framework for Popper☆20Updated 6 months ago
- ☆11Updated last year
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆39Updated last year
- ☆18Updated last year
- Codebase for Neuro-Symbolic Continual Learning.☆19Updated last year
- Python package for Sentential Decision Diagrams (SDD)☆54Updated 3 weeks ago
- A curated paper list on neural symbolic and probabilistic logic.☆114Updated last year
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆24Updated last month
- DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predi…☆196Updated 3 months ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated 8 months ago
- The Python PSDD Package☆16Updated 2 months ago
- Language-annotated Abstraction and Reasoning Corpus☆78Updated last year
- Official code for paper: INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving☆37Updated last year
- ☆26Updated 9 months ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆58Updated 3 years ago
- Logic Reinforcement Learning☆15Updated 4 months ago
- ☆28Updated last year