Search Results for "graph nodes" - Page 3
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Showing 131 open source projects for "graph nodes"
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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... -
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Tributary
Streaming reactive and dataflow graphs in Python
Tributary is a library for constructing dataflow graphs in Python. Unlike many other DAG libraries in Python (airflow, luigi, prefect, dagster, dask, kedro, etc), tributary is not designed with data/etl pipelines or scheduling in mind. Instead, tributary is more similar to libraries like mdf, loman, pyungo, streamz, or pyfunctional, in that it is designed to be used as the implementation for a data model. One such example is the greeks library, which leverages tributary to build data models... -
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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". -
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Flowy
The minimal javascript library to create flowcharts
flowy is a minimal JavaScript library for building interactive flowchart-style interfaces in web applications, allowing developers to create node-based editors, automation builders, or visual programming tools with relatively little code. It provides draggable, connectable blocks (nodes) that can be placed on a canvas, connected via lines, and rearranged dynamically while preserving the underlying graph structure. The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. Events emitted by flowy enable integration with your own data model, so you can sync block positions, connections, and metadata back to a database or application state. ... -
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Glicol
Graph-oriented live coding language and music/audio DSP library
Glicol is a graph-oriented live coding language and audio engine designed for real-time music creation and digital signal processing, written entirely in Rust. It introduces a unique paradigm where audio synthesis and sequencing are represented as interconnected nodes, allowing developers and musicians to construct complex sound pipelines through declarative code. -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage... -
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Vivid 3D
Vivid is a modern C++ 3D engine using OpenGL4+
Vivid is a modern C++ 3D engine using OpenGL4+. It is written using Visual C++ 2022, and relies on several open source projects to achieve it's goal of making it easy and run to make modern games with it. -
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G3N
Go 3D Game Engine
G3N (pronounced "gen") is an OpenGL 3D Game Engine written in Go. It can be used to write cross-platform Go applications that show rich and dynamic 3D representations - not just games. A basic integrated GUI framework is provided, and 3D spatial audio is supported through OpenAL. Go 1.8+ is required. The engine also requires the system to have an OpenGL driver and a GCC-compatible C compiler. On Unix-based systems, the engine depends on some C libraries that can be installed using the... -
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libRSF
A robust sensor fusion library for online localization
The libRSF is an open source C++ library that provides several components that are required to estimate the state of a (robotic) system based on probabilistic methods. By applying the factor graph concept, well known from Graph SLAM, libRSF provides a robust solution for many sensor fusion problems. The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). The resulting graph optimization problem can be solved by applying non-linear least squares optimization. -
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org-roam-server
A web application to visualize the Org-Roam database
...Although it will automatically reload if there is a change in the database, sometimes it fails to establish a connection. If it does not reload after org-roam-build-cache, you can do it manually by clicking the reload button which will reload the data, rebuild the graph and refresh connections. The graph utilizes org-roam protocol which means if you click on one of the nodes, it will open the corresponding file in Emacs. For this feature to work, org-roam protocol should be configured in the system. -
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XL-ParseMails
XL-ParseMails provides functions to parse emails for analysis.
Part of the XL-Toolkit, XL-ParseMails provides functions to parse emails for analysis. -
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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 contain people as nodes and friendships between them as links, with data like a person’s age and the date a friendship was established. ... -
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lnlc
lnlc calculates linear nlc-width and corresponding expressions
lnlc calculates linear nlc-width and corresponding linear nlc-width expressions. On 2014's computers it works quite well up to graph sizes of about 10 nodes of linear nlc-width 3. The runtime depends on the size of the input graph, its linear nlc-width, and the number of nodes of high degree. The archive also contains the widths and corresponding expressions for the trees of up to 12 nodes. -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable... -
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SINGA
A distributed deep learning platform
...SINGA supports the time profiling of each of the operators buffered in the graph. Half precision is supported to bring benefits. -
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. ... -
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graphdot
Visualize Go module dependencies in Graphviz DOT format
Visualize Go module dependencies in Graphviz DOT format. Run graphdot in the directory of any project using Go modules with a go.mod file to print out a dependency graph in Graphviz DOT format. The output can be piped directly into dot to generate a PNG image file. For large graphs with many nodes of dependencies, you may want to generate an SVG file to allow you to zoom in with high fidelity and save disk space instead. If you like a more UML'ish style, you can use the provided graph properties from uml.gprops. -
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VivaGraph
Graph drawing library for JavaScript
VivaGraphJS is a powerful, high-performance graph drawing library for JavaScript that enables developers to visualize complex networks directly in the browser or in Node.js environments. It is designed for speed and scalability, handling large graph datasets with smooth rendering and interactive capabilities such as dragging nodes and zooming. The library supports multiple rendering backends including SVG, WebGL, and Canvas, allowing developers to choose the best balance of performance and visual fidelity for their use case. ... -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
...The toolkit includes evaluation metrics and export tools so learned embeddings can be used in downstream nearest-neighbor search, recommendation, or analytics. In practice, PBG’s design lets practitioners train high-quality graph embeddings. -
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X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
X-DeepLearning (XDL for short) is a complete set of deep optimization solutions for high-dimensional sparse data scenarios (such as advertising/recommendation/search, etc.). XDL version 1.2 has been released recently. Performance optimization for large batch/low concurrency scenarios, 50-100% performance improvement in such scenarios. Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely... -
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Imogen
GPU Texture Generator
Imogen is a real-time, node-based procedural texture generation tool aimed at artists, developers, and shader enthusiasts. It allows users to build complex material textures using a graph-based interface, combining operations like blending, noise, filters, and color correction in a non-destructive workflow. Built with Vulkan and ImGui, Imogen provides immediate visual feedback and supports GPU acceleration for high-resolution texture output. It's particularly useful in game development, VFX,... -
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Naftis
An awesome dashboard for Istio built with love
Naftis is a web-based dashboard for Istio that helps users manage their Istio tasks more easily. Using Naftis, we can customize our own task templates, build tasks from them, then execute them. -
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TextGrapher
Text Content Grapher based on keyinfo extraction by NLP method
TextGrapher is a Python project that converts unstructured Chinese text into a structured semantic graph. It extracts high-frequency terms, keywords, named entities, and subject-verb-object phrases from an input document. The system then organizes these elements into connected nodes and relationships for visual inspection. Generated results are saved as an HTML graph that can be opened in a browser. The repository includes parsing, keyword extraction, graph construction, and visualization scripts. ... -
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Bender
Easily craft fast Neural Networks on iOS
...Bender provides the ease of use of CoreML with the flexibility of a modern ML framework. Bender allows you to run trained models, you can use Tensorflow, Keras, Caffe, the choice is yours. Either freeze the graph or export the weights to files. You can import a frozen graph directly from supported platforms or re-define the network structure and load the weights. Either way, it just takes a few minutes. Bender suports the most common ML nodes and layers but it is also extensible so you can write your own custom functions. With Core ML, you can integrate trained machine learning models into your app, it supports Caffe and Keras 1.2.2+ at the moment. ... -
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test-tlb
Stupid memory latency and TLB tester
test-tlb is a tiny C microbenchmark that explores the performance characteristics of memory access patterns with respect to the CPU’s Translation Lookaside Buffer (TLB) and caches. It walks arrays using different strides and working-set sizes so you can observe when access patterns overflow cache or TLB capacity. By timing tight loops and varying parameters, the program reveals step-changes in latency that map to cache lines, page sizes, and TLB coverage. It is intentionally minimal so you...
