Search Results for "node graph"
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Showing 63 open source projects for "node graph"
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1
Graph Node
Graph Node indexes data from blockchains such as Ethereum
The Graph is an indexing protocol for querying networks like Ethereum and IPFS. Anyone can build and publish open APIs, called subgraphs, making data easily accessible. Subgraphs can be composed into a global graph of all the world's public information. This data can be transformed, organized, and shared across applications for anyone to query with just a few keystrokes. Before The Graph, teams had to develop and operate proprietary indexing servers. This required significant engineering... -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
... where applicable alongside graph optimizations and transforms. ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Support for a variety of frameworks, operating systems and hardware platforms. Built-in optimizations that deliver up to 17X faster inferencing and up to 1.4X faster training. -
3
RootGraph
Graphic interface with algorithms to compute line and root graphs
Simple and intuitive graphic interface for graph theory with algorithms to compute line and root graphs of a given graph. - Double click to add a new node. - Left click a node and drag to change the position of the node. - Select a node with left click and add an edge with the next node you select. - Right click a node to delete it. Made in C++ using the wxWidgets library. -
4
TensorFlow
TensorFlow is an open source library for machine learning
... its computations as dataflow graphs, with each node in the graph representing an operation. Nodes take tensors—multidimensional arrays—as input and produce tensors as output. The framework allows for these algorithms to be run in C++ for better performance, while the multiple levels of APIs let the user determine how high or low they wish the level of abstraction to be in the models produced. Tensorflow can also be used for research and production with TensorFlow Extended. -
BackBox seamlessly integrates with network monitoring and NetOps platforms and automates configuration backups, restores, and change detection. BackBox also provides before and after config diffs for change management, and automated remediation of discovered network security issues.
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5
LangGraph Studio
Desktop app for prototyping and debugging LangGraph applications
LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. With visual graphs and the ability to edit state, you can better understand agent workflows and iterate faster. LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes. While in Beta, LangGraph Studio is available for free to all LangSmith users on any plan... -
6
ComfyUI
The most powerful and modular diffusion model GUI, api and backend
The most powerful and modular diffusion model is GUI and backend. This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission... -
7
NetworkX
Network analysis in Python
... with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
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Lightning Network Daemon
A complete implementation of a Lightning Network node
The Lightning Network Daemon (lnd), is a complete implementation of a Lightning Network node. lnd has several pluggable back-end chain services including btcd (a full-node), bitcoind, and neutrino (a new experimental light client). The project's codebase uses the btcsuite set of Bitcoin libraries and also exports a large set of isolated re-usable Lightning Network-related libraries within it, and fully conforms to the Lightning Network specification (BOLTs). BOLT stands for Basis of Lightning... -
9
Karate Club
An API Oriented Open-source Python Framework for Unsupervised Learning
Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph-structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science... -
Drive amazing product experiences with quality product data.
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10
Svelvet
A library for building dynamic, infinitely customizable interfaces
Build interactive, node-based UIs and diagrams in Svelte. Svelvet is a lightweight component library for building dynamic, customizable node graphs. Svelvet allows you to easily create intuitive user interfaces and diagrams with pre-built components with node-to-node data flow, seamless zooming and panning, customizable edges and nodes and more. Start mapping out your ideas with our NPM package. Simply provide your node data to the Svelvet component and you're ready to show off your interactive... -
11
GraphNeuralNetworks.jl
Graph Neural Networks in Julia
GraphNeuralNetworks.jl is a graph neural network library written in Julia and based on the deep learning framework Flux.jl. -
12
OGB
Benchmark datasets, data loaders, and evaluators for graph machine
... that are of varying sizes and cover a variety graph machine learning tasks, including prediction of node, link, and graph properties. OGB fully automates dataset processing. The OGB data loaders automatically download and process graphs, provide graph objects that are fully compatible with Pytorch Geometric and DGL. OGB provides standardized dataset splits and evaluators that allow for easy and reliable comparison of different models in a unified manner. -
13
amrlib
A python library that makes AMR parsing, generation and visualization
... in both the GUI and as library functions. Training and test code for both the StoG and GtoS models. A SpaCy extension that allows direct conversion of SpaCy Docs and Spans to AMR graphs. Sentence to Graph alignment routines FAA_Aligner (Fast_Align Algorithm), based on the ISI aligner code detailed in this paper. RBW_Aligner (Rule Based Word) for a simple, single token to single node alignment. -
14
X6
JavaScript diagramming library that uses SVG and HTML for rendering
Provides easy-to-use node customization capabilities and out-of-the-box interactive components, allowing us to quickly build flowcharts, DAG diagrams, ER diagrams and other graph applications. Extremely easy to customize: support custom node styles and interactions using SVG/HTML/React/Vue/Angular. Out of the box: built-in 10+ image editing supporting extensions, such as frame selection, alignment line, small map, etc. A complete event system that can listen to any event that occurs... -
15
Cy
Hackers terminal browser of Cyber blockchains
Cy - a nushell wrapper, a client for the Cyber family blockchains (bostrom, pussy) and IPFS. Bostrom is the name of the consensus computer that maintains a general-purpose, permissionless informational graph where nodes are CIDs of files in the IPFS network, and edges are Cyberlinks (consisting of source, destination, author, height - records) written into the blockchain. The information written into the blockchain is secured to remain in existence as long as the blockchain is operative... -
16
LangGraph
Build resilient language agents as graphs
LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application,... -
17
A Fluent Builder For Schema.org Types
A fluent builder Schema.org types and ld+json generator
... on our virtual postcard wall. If you don't want to break the chain of a large schema object, you can use the if method to conditionally modify the schema. The Graph has a lot of methods and utilities - the type-safe and simplest way is to use the overloaded methods of the Spatie\SchemaOrg\Schema class itself. -
18
Go Recipes
Collection of handy tools for Go projects
Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green. Other nodes, which aren't in the final build list, are colored grey... -
19
EliasDB
EliasDB a graph-based database
EliasDB is a graph-based database that aims to provide a lightweight solution for projects which want to store their data as a graph. Build on top of a custom key-value store that supports transactions and memory-only storage. Data is stored in nodes (key-value objects) which are connected via edges. Stored graphs can be separated via partitions. Stored graphs support cascading deletions - delete one node and all its "children". All stored data is indexed and can be quickly searched via a full... -
20
NPC-Graph-Manager
A simple portable program that let you manage your P&P RPG NPC's
This program allows you to manage your NPC's using a social graph, each node is associated to a single NPC and each edge is a relation. For the moment, the project is aimed to manage Classical World of Darkness NPC's and most specifically for Vampire Campaigns, but it is easily adaptable with some basic JS and HTML5 knowledge. We are moving towards a customizable version of this tool. -
21
NeoEloquent
The Neo4j OGM for Laravel
Neo4j Graph Eloquent Driver for Laravel. The service provider will register all the required classes for this package and will also alias the Model class to NeoEloquent so you can simply extend NeoEloquent in your models. The generated label from that relationship will be VinelabCmsAdmin, this is necessary to make sure that labels do not clash in cases where we introduce another Admin instance like Vinelab\Blog\Admin then things get messy with :Admin in the database. -
22
Excel to Graphviz
A Microsoft Excel spreadsheet which creates Graphviz graphs
Takes Excel data relationships and creates Graphviz graph visualizations. -
23
Monitoring Storage, SAN, LAN
Storage, SAN, LAN Performance Monitoring: IBM,NetApp,Hitachi,HPE,EMC
The tool offers you end-to-end views of your storage environment including LAN and SAN and can save you significant money in operation monitoring and by predicting utilization bottlenecks in your virtualized environment. You can also generate policy-based alerts, view overall health status of your systems, reduce service downtime, use capacity and forecasting data - Real-time storage performance visibility in LAN and SAN multi-vendor environment - Historical reporting (graph, CSV, PDF... -
24
rust_dot
RustDOT is mostly the Graphviz DOT language, lightly rustified.
....edges); // false true "Didi" ["-1", "2", "3", "4.2"] [(0, 1), (1, 2), (1, 3)] The return values can be fed to crates petgraph (or graph/graph_builder): let mut petgraph = petgraph::graph::Graph::new(); let nodes: Vec<_> = rust_dot_graph.nodes .iter() .map(|node| petgraph .add_node(node)) .collect(); for edge in rust_dot_graph.edges { petgraph .add_edge(nodes[edge.0], nodes[edge.1], ()); }; -
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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