KareemYousrii / SPL
This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
☆27Updated last year
Alternatives and similar repositories for SPL:
Users that are interested in SPL are comparing it to the libraries listed below
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- The Neuro-Symbolic Forward Reasoner☆22Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆88Updated last week
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆14Updated 2 months ago
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated 10 months ago
- ☆52Updated last year
- From pixels to symbolic rule learning☆12Updated 3 years ago
- ☆33Updated 3 months ago
- ☆24Updated 4 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- Scalable training and inference for Probabilistic Circuits☆57Updated last month
- ☆44Updated last year
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆18Updated 2 weeks ago
- The Pix2Code framework: generalizable, interpretable and revisable visual concept learning☆14Updated 3 months ago
- ☆19Updated last month
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆104Updated 6 months ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆50Updated 8 months ago
- Neuro-Symbolic Hierarchical Rule Induction☆12Updated 2 years ago
- ☆49Updated 4 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆49Updated last year
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆23Updated 2 years ago
- Python package for Sentential Decision Diagrams (SDD)☆56Updated last month
- ☆16Updated last year
- Code for paper "Multi-label Classification Neural Networks with Hard Logical Constraints"☆14Updated 2 years ago
- Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"☆20Updated last year
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆26Updated 3 years ago