ema-marconato / NeSy-CLLinks
Codebase for Neuro-Symbolic Continual Learning.
☆24Updated 2 years ago
Alternatives and similar repositories for NeSy-CL
Users that are interested in NeSy-CL are comparing it to the libraries listed below
Sorting:
- ☆10Updated 4 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆22Updated 2 years ago
- ☆20Updated 2 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated 2 years ago
- ☆49Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- The Pix2Code framework: generalizable, interpretable and revisable visual concept learning☆14Updated 2 months ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆22Updated last year
- The Neuro-Symbolic Forward Reasoner☆26Updated 2 years ago
- Sparse Circuits on the GPU (ICLR2025)☆19Updated last month
- Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch☆59Updated 4 years ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated 2 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆19Updated 11 months ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆33Updated 2 years ago
- repo for code for paper on general theory associative memory models☆21Updated 3 years ago
- Holographic Reduced Representations☆28Updated 3 weeks ago
- PyTorch Implementation of the paper "A Neuro-vector-symbolic architecture for Solving Raven's Progressive Matrices" published in Nature M…☆99Updated 3 months ago
- A neurosymbolic T5 agent for playing text games, from the EACL 2023 paper "Behavior Cloned Transformers are Neurosymbolic Reasoners"☆19Updated 2 years ago
- Neuro-Symbolic AI Toolkit☆109Updated 3 months ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆26Updated 2 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆29Updated 4 years ago
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆55Updated 3 months ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated last year
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆141Updated last year
- ☆23Updated last year
- The Energy Transformer block, in JAX☆63Updated 2 years ago
- A curated paper list on neural symbolic and probabilistic logic.☆130Updated 2 years ago
- Python notebooks for a tutorial on neurosymbolic programming☆78Updated last year
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated last year