knowledge graph知识图谱,从零开始构建知识图谱
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Updated
Sep 18, 2023 - Python
knowledge graph知识图谱,从零开始构建知识图谱
Obsidian tools - a Python package for analysing an Obsidian.md vault
TopicDB is a topic maps-based semantic graph store (using SQLite for persistence)
HyperTag - Intuitive Knowledge Management WebApp & CLI for Humans using Deep Learning & Tags
A fluid medium for storing, relating, and surfacing thoughts.
Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):
Beyond notes, record and expand your thoughts, assisting you in efficient growth.
An AI-powered brain that efficiently stores, categorizes, and interrelates personal notes to optimize the management of creative ideas.
Obsidian + Embedbase = Ava
Zettelkasten visualization and stats🤩🗒
Tag and recommend Python exercises based on algorithmic features
An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic understanding.
meeting notetaker and knowledge chat for teams and individuals
grafit.io - shared knowledge
Minimalist electronic documents/papers/publications manager/indexer/categorizer
MultiverseNote: Transforming AI chatbot interactions into structured project management workflows for enhanced knowledge and conversation continuity.
💫 This repository contains all of the java, javascript & python code implementations for each topic in the course outline for data structures and algorithms COM231 - Mrs. Jensen A. Santillan
A Python script that syncs archived articles from Readwise Reader to Capacities, including highlights and notes. This tool helps maintain your PKM system by automatically creating weblink objects in Capacities from curated Readwise Reader content. Synchronization runs through GitHub Actions with secure credential handling and processes.
A command line tool to help you manage your Knowledge management system / Digital Garden ᵃˡᵖʰᵃ
A labeling tool for building your own domain knowledgebase from biomedical publications. Let us read the papers routinely and build our own domain knowledgebase together.
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