A Python 3.4 implementation of the classic game, Hunt the Wumpus where we tromp around through a cave of 20 rooms trying to hunt down a fictional creature called the Wumpus while avoiding hazards. Implemented using aima3, fol, querying the KB.
Open Domain Question Answering Chatbot With Wikipedia and Google as Knowledge Base
Wumpus World Implementation with AI agent
Knights and Knaves puzzle
A basic LLM application as knowledge base. You can have the LLM answer your questions from the context you provide. Main steps: vectorization (embedding), RAG. 一个基本的知识库类型大语言模型应用。你可以让大模型从你提供的上下文中回答你的提问。主要步骤：向量化（内嵌），RAG。
Loosely structured bits of knowledge
In order to accelerate progress in cohort studies, we proposed a hierarchical neuroscience knowledge base consisting of projects/organizations, multi-modal databases and toolkits, and take the information object in Frontiers in Neuroscience as a example input. Meanwhile, we developed and open sourced the query tool, PDT_fninf , so that researche…
OntoSample is a python package that offers classic sampling techniques for OWL ontologies/knowledge bases. Furthermore, we have tailored the classic sampling techniques to the setting of concept learning making use of learning problem.
OpenKE-based implementation of KG embedding model JOIE (Jointly Embedding Instances and Ontological Concepts)
A collection on environment variables' type, usage, and descriptions.
Enterprise AI API operations
Local semantic sentence embedding Reader-Answerer model for Retrieval Augmented Generation (RAG) of cited question answering from .pdf, .md, & .docx files using small language models.
Train and learn JOIE, TransO and ReasonKGE embedding models on DBpedia and YAGO datasets
A propositional calculus expert system.
Simple Wiki for my knowledgebase on clients
jointly embedding both texts and knowledge graph into same space
Knowledge representation and processing for a service robot using ontology.
A syntax and interface to generate and interact with knowledge graphs in an easy way.
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