Scene Graph Generation in Autonomous Driving: a neuro-symbolic approach
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Updated
Mar 14, 2024 - Jupyter Notebook
Scene Graph Generation in Autonomous Driving: a neuro-symbolic approach
Github repository for the assignments of course COL775: Deep Learning at IIT Delhi (Spring-23). Course Instructor: Prof. Parag Singla
Code for "ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition" (LREC-COLING 2024)
Codebase for the paper "Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings"
Arquivos da Implementação do método de Aprendizagem Relacional no paradigma de Sistemas Neuro-Simbólicos.
Category-theoretic representation of ALC theories
python package for fast solver-free training of neural ILP architectures
ReOnto is a neuro-symbolic approach where we use ontologies and GNNs to extract relations from sentences.
The official repository for the PSYCHIC model
Neuro-symbolic anomaly detection and complex fault diagnosis exemplified in the automotive domain.
Official website for the "rsbench: A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts" benchmark paper
PyEDCR is a package providing error detecting and corrective rules into Python. Given a model, PyEDCR's goal is to recognize when it is incorrect based on a set of conditions and then correct the incorrect prediction.
Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
A neural network model builder, leveraging a neuro-symbolic interface.
Sem@K: Is my knowledge graph embedding model semantic-aware?
official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"
Normalizing flows for neuro-symbolic AI
NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment
Demo for Neuro-Symbolic Agent (LOA)
Holographic Reduced Representations
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