Topic: neuro-symbolic-ai Goto Github
Some thing interesting about neuro-symbolic-ai
Some thing interesting about neuro-symbolic-ai
neuro-symbolic-ai,The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"
User: 12wang3
neuro-symbolic-ai,Normalizing flows for neuro-symbolic AI
Organization: aai-institute
neuro-symbolic-ai,Arquivos da Implementação do método de Aprendizagem Relacional no paradigma de Sistemas Neuro-Simbólicos.
User: abriciof
neuro-symbolic-ai,A neural network model builder, leveraging a neuro-symbolic interface.
User: ais-climber
neuro-symbolic-ai,Lattice-preserving ALC ontology embeddings
Organization: bio-ontology-research-group
neuro-symbolic-ai,Github repository for the assignments of course COL775: Deep Learning at IIT Delhi (Spring-23). Course Instructor: Prof. Parag Singla
User: cosmoluminous
Home Page: https://www.cse.iitd.ac.in/~parags/teaching/col775/
neuro-symbolic-ai,
User: csbobby
Home Page: https://bobbywu.com/STAR
neuro-symbolic-ai,official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"
Organization: dair-iitd
neuro-symbolic-ai,The official repository for the PSYCHIC model
User: hannaabiakl
neuro-symbolic-ai,Code for "ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition" (LREC-COLING 2024)
User: hriaz17
neuro-symbolic-ai,A `Neural = Symbolic` framework for sound and complete weighted real-value logic
Organization: ibm
Home Page: https://IBM.github.io/LNN/
neuro-symbolic-ai,Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
Organization: ibm
neuro-symbolic-ai,Demo for Neuro-Symbolic Agent (LOA)
Organization: ibm
neuro-symbolic-ai,NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment
User: jaleedkhan
neuro-symbolic-ai,ReOnto is a neuro-symbolic approach where we use ontologies and GNNs to extract relations from sentences.
Organization: kracr
neuro-symbolic-ai,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.
Organization: lab-v2
Home Page: https://github.com/lab-v2/PyEDCR
neuro-symbolic-ai,Holographic Reduced Representations
User: mahmudulalam
Home Page: https://ieeexplore.ieee.org/document/377968
neuro-symbolic-ai,Sem@K: Is my knowledge graph embedding model semantic-aware?
User: nicolas-hbt
neuro-symbolic-ai,Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
Organization: nucleoidai
Home Page: https://nucleoid.ai
neuro-symbolic-ai,OriginTrail Decentralized Knowledge Graph network node
Organization: origintrail
Home Page: https://origintrail.io
neuro-symbolic-ai,Scene Graph Generation in Autonomous Driving: a neuro-symbolic approach
User: pamasi
Home Page: https://webthesis.biblio.polito.it/29354/
neuro-symbolic-ai,Codebase for the paper "Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings"
User: raffaelepojer
neuro-symbolic-ai,python package for fast solver-free training of neural ILP architectures
User: rishabh-ranjan
neuro-symbolic-ai,Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
User: samuelebortolotti
Home Page: https://arxiv.org/abs/2402.12240
neuro-symbolic-ai,The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
Organization: synalinks
Home Page: https://synalinks.github.io/documentation/
neuro-symbolic-ai,Neuro-symbolic anomaly detection and complex fault diagnosis exemplified in the automotive domain.
User: tbohne
neuro-symbolic-ai,Official website for the "rsbench: A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts" benchmark paper
Organization: unitn-sml
Home Page: https://unitn-sml.github.io/rsbench/
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