Search Results for "knowledge graph"
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Showing 36 open source projects for "knowledge graph"
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Our computer monitoring software allows employees, field contractors, and freelancers to manually clock in when they begin working on an assignment. The application will take screenshots randomly or at set intervals, which allows employers to observe the work process. The application only tracks activity when the employee is clocked in. No spying, only transparency.
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Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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AmpliGraph
Python library for Representation Learning on Knowledge Graphs
Open 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. -
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Logseq
A privacy-first, open-source platform for knowledge management
... to be added soon). In the unlikely event that the website is down or cannot be maintained, your data is, and will always be yours. No data lock-in, no proprietary formats, you can edit the same Markdown/Org-mode file with any tools at the same time. Connect your [[ideas]] and [[thoughts]] with Logseq. Your knowledge graph grows just as your brain generates and connects neurons from new knowledge and ideas. -
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Foam
A personal knowledge management and sharing system for VSCode
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 organizing your research, keeping re-discoverable notes, writing long-form content and, optionally, publishing it to the web. Foam is free, open source, and extremely extensible to suit your personal workflow. You own the information you create with Foam, and you're free to share it and collaborate on it with anyone you want. -
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PixiJS
The HTML5 Creation Engine
PixiJS is a fast and lightweight 2D rendering library that lets you create rich, interactive graphics, cross platform applications, and HTML5 games even without prior knowledge of WebGL. It’s a fantastic tool for creating rich, interactive content and with built-in cross platform compatibility and graceful degradation, there’s less work for you and more space for fun and creativity! PixiJS works across all devices and is incredibly fast. If you want to create exceptional experiences without... -
Our robust pre-built connectors and our no-code, drag-and-drop interface makes it easy and fast to automatically sync vendors, invoices, and invoice payment data between Tipalti and your ERP or accounting software.
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DGL
Python package built to ease deep learning on graph
Build your models with PyTorch, TensorFlow or Apache MXNet. Fast and memory-efficient message passing primitives for training Graph Neural Networks. Scale to giant graphs via multi-GPU acceleration and distributed training infrastructure. DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. We are keen to bringing graphs closer to deep learning researchers. We... -
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HugeGraph
A graph database that supports more than 100+ billion data
HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports... -
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PyKEEN
A Python library for learning and evaluating knowledge graph embedding
PyKEEN (Python KnowlEdge EmbeddiNgs) is a Python package designed to train and evaluate knowledge graph embedding models (incorporating multi-modal information). PyKEEN is a Python package for reproducible, facile knowledge graph embeddings. PyKEEN has a function pykeen.env() that magically prints relevant version information about PyTorch, CUDA, and your operating system that can be used for debugging. If you’re in a Jupyter Notebook, it will be pretty-printed as an HTML table. -
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cognee
Deterministic LLMs Outputs for AI Applications and AI Agents
... works; unstructured text or raw media files, PDFs, tables, presentations, JSON files, and so many more. Add small or large files, or many files at once. We map out a knowledge graph from all the facts and relationships we extract from your data. Then, we establish graph topology and connect related knowledge clusters, enabling the LLM to "understand" the data. -
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PyTextRank
Python implementation of TextRank algorithms
PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work -- and related knowledge graph practices. -
Don’t settle when it comes to managing your clients’ IT infrastructure. Exceed their expectations with ConnectWise RMM, our MSP RMM software that provides proactive tools and NOC services—regardless of device environment. With the number of new vulnerabilities rising each year, smart patching procedures have never been more important. We automatically test and deploy patches when they are viable and restrict patches that are harmful. Get better protection for clients while you spend less time managing endpoints and more time growing your business. It’s tough to locate, afford, and retain quality talent. In fact, 81% of IT leaders say it’s hard to find the recruits they need. Add ConnectWise RMM, NOC services and get the expertise and problem resolution you need to become the advisor your clients demand—without adding headcount.
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asami
A flexible graph store, written in Clojure
Asami is now being developed in this repository, as it is no longer being supported at Cisco. The deployment to Clojars has not changed, as it was always to my personal account. -
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Jekyll RDF
A Jekyll plugin to include RDF data in your static site
Transform your RDF Knowledge Graph into static websites and blogs. -
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HASH
The best way to use and work with blocks
This is HASH's public monorepo which contains our public code, docs, and other key resources. HASH is a platform for decision-making, which helps you integrate, understand and use data in a variety of different ways. HASH does this by combining various different powerful tools together into one simple interface. These range from data pipelines and a graph database, through to an all-in-one workspace, no-code tool builder, and agent-based simulation engine. These exist at varying stages... -
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Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing what... -
14
falkordb
A super fast Graph Database
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG). -
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AminePlatform
Amine is a Multi-Layer Platform for the dev. of Intelligent Systems
Amine is an Artificial Intelligence Multi-Layer Java Open Source Platform dedicated to the development of various kinds of Intelligent Systems and Agents (Knowledge-Based, Ontology-Based, Conceptual Graph -CG- Based, NLP, Reasoning and Learning, Natural Language Processing, etc.). Ontology, KB can be created and manipulated with various processes. CG theory is used as the main knowledge representation language. Amine provides two languages: PROLOG+CG which extends PROLOG with CG and Amine... -
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TRAK Metamodel
Tuples (triples) for TRAK architecture viewpoints and views
The definition of the metamodel for TRAK (defines allowed AD elements and relationships i.e. tuples/ triples for the TRAK viewpoints and views). TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Forms basis for RDF + OWL ontology description - see https://trakmetamodel.sourceforge.io/vocab/TRAK_metamodel.html -
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StellarGraph
Machine Learning on Graphs
StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can... -
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ArangoDB Interactive Tutorials
Repository for all ArangoDB interactive tutorial notebooks
Choose your favored cloud platform with ArangoGraph, a full-managed, scalable, and high-performance graph database service that delivers the added value of an integrated document store, full-text search engine, and geospatial capabilities. This unified solution offers seamless, hassle-free management of these diverse data models and types, relieving you of operational overhead and allowing you to focus on innovation and development. Run on ANY system. Plus, ArangoDB supports Kubernetes through... -
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SLING
A natural language frame semantics parser
The aim of the SLING project is to learn to read and understand Wikipedia articles in many languages for the purpose of knowledge base completion, e.g. adding facts mentioned in Wikipedia (and other sources) to the Wikidata knowledge base. We use frame semantics as a common representation for both knowledge representation and document annotation. The SLING parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic representation... -
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React Trend
Simple, elegant spark lines
Unfortunately, none of this project's authors have the time/enthusiasm to maintain this project right now. We recommend forking this project, or reading its source to learn how it's built). Graphing tools are often complex, abstract, and heavy. They require domain-specific knowledge and significant time investment. While building rich data visualizations for an analytics app, is a necessary cost. But what if you just need a sparkline that shows a trend? These are very simple and elegant... -
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Matrosdms
Document Management System with real-life-objects
DMS based on hierarchical tags and graph theory with real life entities. In the real world you deal with entities like car, family members, dealers and companies. In this dms you can use your real world objects. You can build hierarchical structures and can easily make timelines from your letters Security is one big concern when you scan your personal documents Thats why this DMS is not build as Online/Cloud/Webservice. * I want my scans on my computer only * I want my papers... -
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Hetionet
Hetionet: an integrative network of disease
..., but it is otherwise a simple yet new format. The Neo4j graph database has an established and thriving ecosystem. However, if you would like to access Hetionet without Neo4j, then we suggest the JSON format. The matrix format refers to HetMat archives, which store edge adjacency matrices on disk. Additional usage information is available at the corresponding download locations. -
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HOTELLING
A Consumer in the Jungle of Product Differentiation
We present a graph-based model of consumer choice, which describes the hypothetical cognitive journey that each individual experiences in the process of buying a product by exploring a given market. The topological structure of the market is represented by a graph with different types of nodes, identified by different shapes. The role of the causes that influence the decision can be measured by means of behavioral differentiation in several parametric simulations. The relevance of information... -
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KDT provides domain experts with a simple interface to analyze very large graphs quickly and effectively without requiring knowledge of the underlying graph representation or algorithms. It provides a Python interface and can run on clusters.
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TikZ-dependency
A LaTeX library to draw all sorts of dependency trees and graphs
TikZ-dependency allows you to draw dependency graphs in LaTeX documents with little or no effort. The package has a very easy to learn, high level interface that can be used to draw simple dependency trees, complex non projective graphs, bubble parses, and in general any kind of graph which is based on a sequence of nodes and edges among these. It is based on PGF/TikZ and it can be used either with latex or pdflatex. It comes with a very comprehensive documentation that will get you...