ema-marconato / NeSy-CL
Codebase for Neuro-Symbolic Continual Learning.
☆20Updated last year
Alternatives and similar repositories for NeSy-CL:
Users that are interested in NeSy-CL are comparing it to the libraries listed below
- ☆15Updated last year
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆13Updated 3 weeks ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- The Pix2Code framework: generalizable, interpretable and revisable visual concept learning☆13Updated last month
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆26Updated last year
- The Neuro-Symbolic Forward Reasoner☆22Updated 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☆53Updated 3 years ago
- ☆43Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆48Updated last year
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆27Updated 2 years ago
- ☆32Updated 3 years ago
- Holographic Reduced Representations☆24Updated 3 months ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆19Updated 11 months ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated 11 months ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆26Updated 3 years ago
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated 8 months ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆30Updated last year
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆19Updated 2 years ago
- The Python PSDD Package☆16Updated 5 months ago
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games☆41Updated last year
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆23Updated last year
- A Pytorch implementation of Logic Tensor Networks☆8Updated 5 years ago
- Generalised UDRL☆37Updated 2 years ago
- ☆31Updated 2 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 3 years ago
- ☆50Updated last year
- ☆15Updated last year
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Quantification of Uncertainty with Adversarial Models☆28Updated last year