Topic: neuro-symbolic Goto Github
Some thing interesting about neuro-symbolic
Some thing interesting about neuro-symbolic
neuro-symbolic,An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.
User: abductivelearning
Home Page: https://ablkit.readthedocs.io/
neuro-symbolic,AIKA is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to conceptually separate the activations from their neurons, meaning that there are two separate graphs. One graph consisting of neurons and synapses representing the knowledge the network has already acquired and another graph consisting of activations and links describing the information the network was able to infer about a concrete input data set. There is a one-to-many relation between the neurons and the activations. For example, there might be a neuron representing a word or a specific meaning of a word, but there might be several activations of this neuron, each representing an occurrence of this word within the input data set. A consequence of this decision is that we have to give up on the idea of a fixed layered topology for the network, since the sequence in which the activations are fired depends on the input data set. Within the activation network, each activation is grounded within the input data set, even if there are several activations in between. This means links between activations serve two purposes. On the one hand, they are used to sum up the synapse weights and, on the other hand they propagate the identity to higher level activations.
User: aika-algorithm
Home Page: https://aika.network
neuro-symbolic,Implementation of the paper: " Experimenting an Approach to Neuro-Symbolic RL"
User: andrearafanelli
neuro-symbolic,EmbedPVP: Embedding-based Phenotype Variant Predictor
Organization: bio-ontology-research-group
Home Page: https://www.biorxiv.org/content/10.1101/2023.11.08.566179v1
neuro-symbolic,mOWL: Machine Learning library with Ontologies
Organization: bio-ontology-research-group
neuro-symbolic,A simple compute platform
Organization: booch-nvidiacluster
neuro-symbolic,Self's foundational abstractions
Organization: booch-self
neuro-symbolic,Hacking a Neural Network to understand what concepts the network learns in order to solve a logic task.
User: debryu
neuro-symbolic,Codebase for Neuro-Symbolic Continual Learning.
User: ema-marconato
neuro-symbolic,Research code for heuristically hiding information for inference run on 3rd party systems (ICML 22)
Organization: futurecomputing4ai
Home Page: https://arxiv.org/abs/2206.05893
neuro-symbolic,Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)
Organization: futurecomputing4ai
Home Page: https://arxiv.org/abs/2305.19534
neuro-symbolic,An LLM chatbot augmented by neuro-symbolic rules
User: geekalexis
neuro-symbolic,The official repository for the PSYCHIC model
User: hannaabiakl
neuro-symbolic,Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
Organization: ibm
neuro-symbolic,Demo for Neuro-Symbolic Agent (LOA)
Organization: ibm
neuro-symbolic,awesome-LLM-controlled-constrained-generation
User: jxzhangjhu
Home Page: https://github.com/jxzhangjhu/awesome-LLM-controlled-constrained-generation
neuro-symbolic,A neuro-symbolic reasoner for the EL++ description logic.
Organization: kracr
neuro-symbolic,Knowledge Enhanced Graph Neural Networks. We combine Knowledge Enhancement layers with Graph Neural Networks
User: luisawerner
Home Page: https://ieeexplore.ieee.org/document/10302495
neuro-symbolic,Reproduce. Replicate. Reevaluate. The long but safe way to extend machine learning methods.
User: luisawerner
Home Page: https://ojs.aaai.org/index.php/AAAI/article/view/29515
neuro-symbolic,Holographic Reduced Representations
User: mahmudulalam
Home Page: https://ieeexplore.ieee.org/document/377968
neuro-symbolic,Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations
User: mahmudulalam
Home Page: https://arxiv.org/abs/2312.15310
neuro-symbolic,Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
User: mihaela-stoian
neuro-symbolic,program synthesis with neuro-symbolic differentiable interpreters
User: namin
neuro-symbolic,Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
User: nerdimite
neuro-symbolic,PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT
Organization: neulab
neuro-symbolic,PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
Organization: neulab
neuro-symbolic,Neuro-Symbolic AI with Declarative Logic
Organization: nucleoidai
Home Page: https://nucleoid.ai
neuro-symbolic,ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains
Organization: snap-stanford
neuro-symbolic,The Programmable 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,Library for hierarchical concept composition and reasoning
User: tailintalent
neuro-symbolic,Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
User: wellyzhang
Home Page: https://wellyzhang.github.io/project/alans.html
neuro-symbolic,[ACL 2024] The project of Symbol-LLM
User: xufangzhi
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