ml-research / nsfr
The Neuro-Symbolic Forward Reasoner
☆22Updated last year
Alternatives and similar repositories for nsfr:
Users that are interested in nsfr are comparing it to the libraries listed below
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated 10 months ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated last year
- ☆15Updated last year
- ☆19Updated last month
- ☆43Updated last year
- From pixels to symbolic rule learning☆12Updated 3 years ago
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆41Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- ☆33Updated 3 months ago
- Experimentation framework for Popper☆21Updated 10 months ago
- ☆36Updated 4 months ago
- Python package for Sentential Decision Diagrams (SDD)☆55Updated last month
- Neuro-Symbolic Hierarchical Rule Induction☆12Updated 2 years ago
- Code for 'Emergent Symbols through Binding in External Memory'.☆20Updated last year
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆104Updated 5 months ago
- A curated paper list on neural symbolic and probabilistic logic.☆121Updated last year
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆14Updated last month
- ☆29Updated last year
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- ☆12Updated 2 years ago
- Scalable training and inference for Probabilistic Circuits☆56Updated last month
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆26Updated 5 months ago
- ☆19Updated last year
- Knowledge-Aware RL agents with Commonsense Reasoning☆77Updated 3 years ago
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆88Updated this week
- Codebase for Neuro-Symbolic Continual Learning.☆20Updated last year
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆59Updated 4 years ago
- Official code for paper: INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving☆39Updated 2 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year