Logseq is a platform for knowledge management and collaboration. It focuses on privacy, longevity, and user control. The server will never store or analyze your private notes. It works on top of local plain-text Markdown and Org-mode files. Use it to write, organize and share your thoughts, keep your to-do list, and build your own digital garden. It provides support to organize your tasks and projects with built-in workflow commands.
https://github.com/logseq/logseqTags | git markdown clojure graph clojurescript knowledge-graph org-mode knowledge-base local-first notes note-taking knowledge-management |
Implementation | Clojure |
License | AGPLv3 |
Platform | OS-Independent |
Foam is a personal knowledge management and sharing system inspired by Roam Research, built on Visual Studio Code and GitHub. You can use Foam for organising your research, keeping re-discoverable notes, writing long-form content and, optionally, publishing it to the web.
markdown markdown-editor vscode note-taking graph-visualisation pkm personal-knowledge-base notes-app zettelkastenDendron is an open-source, local-first, markdown-based, note-taking tool. It's a personal knowledge management solution (PKM) built specifically for developers and integrates natively with IDEs like VS Code and VSCodium.
knowledge-base note-taking notes knowledge-management markdown markdown-editor vscode pkm zettelkastenand more, in a single portable script. nb creates notes in text-based formats like Markdown, Org, and LaTeX, can work with files in any format, can import and export notes to many document formats, and can create private, password-protected encrypted notes and bookmarks. With nb, you can write notes using Vim, Emacs, VS Code, Sublime Text, and any other text editor you like, as well as terminal and GUI web browsers. nb works in any standard Linux / Unix environment, including macOS and Windows via WSL. Optional dependencies can be installed to enhance functionality, but nb works great without them.
git vim shell bash markdown cli productivity sync command-line notebook notes archiving vscode pandoc bookmarks note-taking knowledge-base bookmark-manager notes-app zettelkasten terminal prompt emacs versioning syncing encryption bookmarking tagging tags archiveA personal knowledge base with a focus on connections. The personal knowledge base (PKB) is basically a wiki system for personal use. Unlike a public wiki which most often focuses on representing facts, the PKB can contain subjective material relevant to the person or persons using the PKB. Therefore the desired properties of a PKB are equivalent to those of the personal wiki.
personal-knowledge-base pkb graph graphs learning note-taking productivity knowledge-graph knowledgebase knowledge-management geistThe Knowledge Graph
grakn graql knowledge-base knowledge-graph knowledge-representation reasoning relational-databases hyper-relational database graph graph-database graph-visualization logic deductions knowledge-engineering enterprise-knowledge-graph knowledge-engine query-language hyper-relational-database inferenceTypeDB is a strongly-typed database with a rich and logical type system. TypeDB empowers you to tackle complex problems, and TypeQL is its query language. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level as opposed to join-tables, columns, documents, vertices, edges, and properties.
database graph logic inference knowledge-graph graph-theory graph-database graphdb knowledge-base type-system strongly-typed graph-visualisation relational knowledge-representation reasoning enterprise-knowledge-graph hyper-relational java-databaseCivilizer is a note taking or personal knowledge management application that helps you efficiently manage your personal data/knowledge/idea etc. However, it has many advanced features to let you efficiently create your note/memo and organize and search them. It supports most of major Web browsers.
note-taking notes todo-list knowledge-managementThe OpenCog AtomSpace is a knowledge representation (KR) database and the associated query/reasoning engine to fetch and manipulate that data, and perform reasoning on it. Data is represented in the form of graphs, and more generally, as hypergraphs; thus the AtomSpace is a kind of graph database, the query engine is a general graph re-writing system, and the rule-engine is a generalized rule-driven inferencing system. The vertices and edges of a graph, known as "Atoms", are used to represent not only "data", but also "procedures"; thus, many graphs are executable programs as well as data structures. The AtomSpace is a platform for building Artificial General Intelligence (AGI) systems. It provides the central knowledge representation component for OpenCog. As such, it is a fairly mature component, on which a lot of other systems are built, and which depend on it for stable, correct operation in a day-to-day production environment.
graph-database rule-engine knowledge-representation query-engine logic-programming knowledge-graph knowledge-base query-language relational-database relational-algebra reasoning rewrite-system rewriting inference-engine inference inference-rulesNoLedge is an open-source freeware designed to serve as an academic or general notebook. It includes a simple and (hopefully) user-friendly interface and allows the creation of "notes", similar to articles in Wikis. It is also meant to be used as a reference management softwar...
bibtex database knowledge-base note-taker note-taking notes notetakingOrg-roam is a plain-text knowledge management system. It brings some of Roam's more powerful features into the Org-mode ecosystem. Org-roam borrows principles from the Zettelkasten method, providing a solution for non-hierarchical note-taking. It should also work as a plug-and-play solution for anyone already using Org-mode for their personal wiki.
org-mode memex hacktoberfest pkm zettelkasten roamTo respond to these scenarios, KGLIB is the centre of all research projects conducted at Grakn Labs. In particular, its focus is on the integration of machine learning with the Grakn Knowledge Graph. More on this below, in Knowledge Graph Tasks. At present this repo contains one project: Knowledge Graph Convolutional Networks (KGCNs). Go there for more info on getting started with a working example.
machine-learning ai neural-network graph tensorflow graphs ml artificial-intelligence knowledge-graph knowledgebase knowledge-graph-completion relational-learning link-prediction graph-convolutional-networks grakn graql geometric-deep-learning graph-networksKnowledge graphs (KGs) are data structures that store information about different entities (nodes) and their relations (edges). A common approach of using KGs in various machine learning tasks is to compute knowledge graph embeddings. DGL-KE is a high performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings. The package is implemented on the top of Deep Graph Library (DGL) and developers can run DGL-KE on CPU machine, GPU machine, as well as clusters with a set of popular models, including TransE, TransR, RESCAL, DistMult, ComplEx, and RotatE. This command will download the FB15k dataset, train the transE model and save the trained embeddings into the file.
machine-learning knowledge-graph knowledge-graphs-embeddings graph-learning dglOpen source library based on TensorFlow that predicts links between concepts in a knowledge graph. AmpliGraph is a suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs.
machine-learning knowledge-graph relational-learning representation-learning graph-representation-learning graph-embeddings knowledge-graph-embeddingsThere's a blog post that's a good introduction to Beam. Beam is a distributed knowledge graph store, sometimes called an RDF store or a triple store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world. A knowledge graph store enables rich queries on its data, which can be used to power real-time interfaces, to complement machine learning applications, and to make sense of new, unstructured information in the context of the existing knowledge.
graph rdf sparqlopenKB is a Markdown Knowledge base application (FAQ) built with Nodejs and ExpressJS. The application uses an embedded database (nedb) by default but can also use a MongoDB server by changing the config (see below). The application is designed to be easy to use and install and based around search rather than nested categories. Simply search for what you want and select from the results. Note: openKB supports Nodejs version 4.0 and above.
knowledge-base markdown express nedb documentation platform nodejs kb faq wiki openkb mongodbThe Object-oriented database and knowledge base management system Cerebrum uses network data model. Cerebrum makes it easier for developers to save the state of the complex objects graph or the neural network into the database.
ai cerebrum database interesting kbHyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for Knowledge management, Artificial Intelligence and Semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. It could also be used as graph database or as (non-SQL) relational database.
database graph-database embedded-database no-sqlTerminusDB is an open-source graph database and document store. It is designed for collaboratively building data-intensive applications and knowledge graphs. If you want to collaborate with colleagues or build data-intensive applications, nothing will make you more productive. It is a native revision control database that is architecturally similar to Git and other distributed version control systems.
immutable database linked-data collaboration json-ld graph-database revision-control knowledge-graphs data-meshGunrock is a CUDA library for graph-processing designed specifically for the GPU. It uses a high-level, bulk-synchronous, data-centric abstraction focused on operations on a vertex or edge frontier. Gunrock achieves a balance between performance and expressiveness by coupling high performance GPU computing primitives and optimization strategies with a high-level programming model that allows programmers to quickly develop new graph primitives with small code size and minimal GPU programming knowledge. For more details, please visit our website, read Why Gunrock, our TOPC 2017 paper Gunrock: GPU Graph Analytics, look at our results, and find more details in our publications. See Release Notes to keep up with the our latest changes.
gunrock cuda graph-processing graph-analytics gpu graph-primitivesAlso called network representation learning, graph embedding, knowledge embedding, etc. The task is to learn the representations of the vertices from a given network.
network-embedding representation-learning graph-embeddings knowledge-graph
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