ema-marconato / NeSy-CL
Codebase for Neuro-Symbolic Continual Learning.
☆21Updated last year
Alternatives and similar repositories for NeSy-CL:
Users that are interested in NeSy-CL are comparing it to the libraries listed below
- ☆17Updated 2 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆27Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch☆55Updated 3 years ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated last year
- The Pix2Code framework: generalizable, interpretable and revisable visual concept learning☆14Updated 2 weeks ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- The Neuro-Symbolic Forward Reasoner☆22Updated last year
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆14Updated 2 months ago
- ☆33Updated 3 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆26Updated 3 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆49Updated last year
- ☆52Updated last year
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated 10 months ago
- ☆24Updated 4 years ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆24Updated 2 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆24Updated 4 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆10Updated last year
- A Pytorch implementation of Logic Tensor Networks☆9Updated 5 years ago
- ☆44Updated last year
- Code accompanying the paper "A contrastive rule for meta-learning"☆11Updated 5 months ago
- Quantification of Uncertainty with Adversarial Models☆28Updated last year
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆31Updated last year
- Holographic Reduced Representations☆25Updated 5 months ago
- Python package for Sentential Decision Diagrams (SDD)☆56Updated last month
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆26Updated 3 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆20Updated last year
- ☆15Updated last year