Showing 2173 open source projects for "jack-graph"

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  • 1
    Ontology Playground

    Ontology Playground

    Free, open-source web app for learning about ontologies

    Ontology Playground is a free web application for learning, exploring, designing, and sharing ontologies. Its interactive graph viewer renders entities and relationships as searchable node-and-edge diagrams with pan, zoom, and property inspection. A curated catalogue provides prebuilt examples from retail, e-commerce, healthcare, finance, manufacturing, education, and other domains. The visual designer lets users create entity types, typed properties, relationships, and cardinalities while viewing changes immediately. ...
    Downloads: 9 This Week
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  • 2
    Cytoscape.js

    Cytoscape.js

    Graph theory library for visualization and analysis

    A fully featured graph library written in pure JS. Permissive open source license (MIT) for the core Cytoscape.js library and all first-party extensions. Used in commercial projects and open-source projects in production. Designed for users first, for both frontfacing app usecases and developer usecases. Highly optimized. Compatible with All modern browsers.
    Downloads: 1 This Week
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  • 3
    LEANN

    LEANN

    Local RAG engine for private multimodal knowledge search on devices

    ...LEANN introduces a storage-efficient approximate nearest neighbor index combined with on-the-fly embedding recomputation to avoid storing large embedding vectors. By recomputing embeddings during queries and using compact graph-based indexing structures, LEANN can maintain high search accuracy while minimizing disk usage. It aims to act as a unified personal knowledge layer that connects different types of data such as documents, code, images, and other local files into a searchable context for language models.
    Downloads: 13 This Week
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  • 4
    MCP Neo4j

    MCP Neo4j

    Model Context Protocol with Neo4j

    An implementation of the Model Context Protocol with Neo4j, enabling natural language interactions with Neo4j databases and facilitating operations such as schema retrieval and Cypher query execution. ​
    Downloads: 0 This Week
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    MongoDB Atlas runs apps anywhere

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  • 5
    pg_flo

    pg_flo

    Stream, transform, and route PostgreSQL data in real-time

    The easiest way to move and transform data between PostgreSQL databases.
    Downloads: 0 This Week
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  • 6
    mongo-express

    mongo-express

    Web-based MongoDB admin interface, written with Node.js

    A web-based MongoDB admin interface written with Node.js, Express, and Bootstrap 5.
    Downloads: 0 This Week
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  • 7
    The Algorithms Python

    The Algorithms Python

    All Algorithms implemented in Python

    ...Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization. The project covers various domains including mathematics, cryptography, machine learning, sorting, graph theory, and more. With contributions from a large global community, it continually grows and improves through collaboration and peer review. This repository is an ideal reference for students, educators, and developers seeking hands-on experience with algorithmic concepts in Python.
    Downloads: 5 This Week
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  • 8
    ONNX

    ONNX

    Open standard for machine learning interoperability

    ...Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Currently we focus on the capabilities needed for inferencing (scoring). ONNX is widely supported and can be found in many frameworks, tools, and hardware. Enabling interoperability between different frameworks and streamlining the path from research to production helps increase the speed of innovation in the AI community.
    Downloads: 11 This Week
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  • 9
    miniaudio

    miniaudio

    Audio playback and capture library written in C,

    ...With the low-level API, just initialize a connection to the device and send or receive raw audio data. The modular design of miniaudio allows you to use the low-level API without compromising your ability to make use of other features like the node graph and resource manager. miniaudio's node graph system gives you an easy way to set up advanced mixing and effect graphs. Each node sends it's output to another node, and so on and so forth to produce all kinds of effects. You can even implement your own custom nodes and plug them in however you like. Plug multiple nodes into the same input node for mixing and use the splitter node for complex routing.
    Downloads: 2 This Week
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  • 10
    micrograd

    micrograd

    A tiny scalar-valued autograd engine and a neural net library

    micrograd is a tiny, educational automatic differentiation engine focused on scalar values, built to show how backpropagation works end to end with minimal code. It constructs a dynamic computation graph as you perform math operations and then computes gradients by walking that graph backward, making it an approachable “from scratch” autograd reference. On top of the core autograd “Value” concept, the project includes a small neural network library that lets you define and train simple models with a PyTorch-like feel, including multilayer perceptrons. ...
    Downloads: 0 This Week
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  • 11
    Materials Discovery: GNoME

    Materials Discovery: GNoME

    AI discovers 520000 stable inorganic crystal structures for research

    Materials Discovery (GNoME) is a large-scale research initiative by Google DeepMind focused on applying graph neural networks to accelerate the discovery of stable inorganic crystal materials. The project centers on Graph Networks for Materials Exploration (GNoME), a message-passing neural network architecture trained on density functional theory (DFT) data to predict material stability and energy formation. Using GNoME, DeepMind identified 381,000 new stable materials, later expanding the dataset to include over 520,000 materials within 1 meV/atom of the convex hull as of August 2024. ...
    Downloads: 1 This Week
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  • 12
    PyTorch Geometric Temporal

    PyTorch Geometric Temporal

    Spatiotemporal Signal Processing with Neural Machine Learning Models

    ...The package interfaces well with Pytorch Lightning which allows training on CPUs, single and multiple GPUs out-of-the-box. PyTorch Geometric Temporal makes implementing Dynamic and Temporal Graph Neural Networks quite easy - see the accompanying tutorial. Head over to our documentation to find out more about installation, creation of datasets and a full list of implemented methods and available datasets.
    Downloads: 1 This Week
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  • 13
    DataHub

    DataHub

    The Metadata Platform for your Data and AI Stack

    DataHub is an open source metadata platform that helps organizations discover, understand, and trust their data assets at scale. It models data as a richly connected graph spanning datasets, dashboards, pipelines, ML features, and services, so users can explore relationships like lineage and ownership across tools and domains. The platform focuses on continuous metadata ingestion from many sources, treating metadata as a stream that stays fresh as systems change. A modern web UI and search layer make it easy for analysts, engineers, and stewards to find assets, read documentation, and see context such as usage, schema history, and downstream impacts. ...
    Downloads: 219 This Week
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  • 14
    VulkanSceneGraph

    VulkanSceneGraph

    Vulkan & C++17 based Scene Graph Project

    VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library.
    Downloads: 1 This Week
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  • 15
    Backup Tables

    Backup Tables

    Backup single or multiple database tables with ease

    Backup single or multiple database tables with ease. Use the BackupTables::generateBackup($tableToBackup) Facade anywhere in your application and it will generate $tableToBackup_backup_2024_08_22_17_40_01 table in the database with all the data and structure. Note that the datetime 2024_08_22_17_40_01 will be varied based on your datetime.
    Downloads: 1 This Week
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  • 16
    AstroPaper

    AstroPaper

    A minimal, accessible and SEO-friendly Astro blog theme

    ...Blog features include tags, archives, pagination, draft and scheduled posts, RSS, sitemaps, breadcrumbs, and collapsible tables of contents. The theme includes light and dark modes, dynamic Open Graph image generation, image lightboxes, callouts, and social sharing controls. Accessibility features cover semantic markup, keyboard navigation, ARIA labels, screen-reader support, and strong color contrast. Configuration is centralized so users can customize site metadata, appearance, publishing behavior, and optional features without rebuilding the theme architecture.
    Downloads: 5 This Week
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  • 17
    ComfyUI-LTXVideo

    ComfyUI-LTXVideo

    LTX-Video Support for ComfyUI

    ComfyUI-LTXVideo is a bridge between ComfyUI’s node-based generative workflow environment and the LTX-Video multimedia processing framework, enabling creators to orchestrate complex video tasks within a visual graph paradigm. Instead of writing code to apply effects, transitions, edits, and data flows, users can assemble nodes that represent video inputs, transformations, and outputs, letting them prototype and automate video production pipelines visually. This integration empowers non-programmers and rapid-iteration teams to harness the performance of LTX-Video while maintaining the clarity and flexibility of a dataflow graph model. ...
    Downloads: 5 This Week
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  • 18
    OpenTofu

    OpenTofu

    OpenTofu lets you declaratively manage your cloud infrastructure

    Truly open-source under a well-known and widely-accepted license that companies can trust, that won’t suddenly change in the future and isn’t subject to the whims of a single vendor. Community-driven so that the community governs the project for the community, where pull requests are regularly reviewed and accepted on their merit. Impartial so that valuable features and fixes are accepted based on their value to the community, regardless of their impact on any particular vendor. Layered and...
    Downloads: 3 This Week
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  • 19
    plotly

    plotly

    An interactive graphing library for R

    ...Moreover, both approaches are an implementation of the Grammar of Graphics and both are powered by the JavaScript graphing library plotly.js, so many of the same concepts and tools that you learn for one interface can be reused in the other. Any graph made with the plotly R package is powered by the JavaScript library plotly.js. The plot_ly() function provides a ‘direct’ interface to plotly.js with some additional abstractions to help reduce typing.
    Downloads: 7 This Week
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  • 20
    ArangoDB JavaScript Driver

    ArangoDB JavaScript Driver

    The official ArangoDB JavaScript driver

    ArangoJS is the official JavaScript client for ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph data models. This client provides a powerful yet simple API to interact with ArangoDB from Node.js or browser-based applications.
    Downloads: 0 This Week
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  • 21
    InferOpt.jl

    InferOpt.jl

    Combinatorial optimization layers for machine learning pipelines

    ...It allows you to create differentiable layers from optimization oracles that do not have meaningful derivatives. Typical examples include mixed integer linear programs or graph algorithms.
    Downloads: 0 This Week
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  • 22
    MultilayerGraphs.jl

    MultilayerGraphs.jl

    Julia package for the creation and analysis of multilayer graphs

    MultilayerGraphs.jl is a Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs. A multilayer graph is a graph consisting of multiple standard subgraphs called layers which can be interconnected through bipartite graphs called interlayers composed of the vertex sets of two different layers and the edges between them. The vertices in each layer represent a single set of nodes, although not all nodes have to be represented in every layer.
    Downloads: 0 This Week
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  • 23
    Utopia

    Utopia

    World's first open-source enterprise world model

    Utopia is an open-source enterprise world model designed to turn evolving organizational knowledge into a governed decision layer. It combines a bitemporal knowledge graph, editable ontology, retrieval, reasoning, and audit history in one self-hosted application. The system ingests documents and synchronized sources, then extracts entities and facts with provenance and validity intervals. Corrections preserve earlier versions instead of overwriting them. Hybrid search and chat work across documents and mounted databases through OpenAI-compatible models. ...
    Downloads: 4 This Week
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  • 24
    Torch Pruning

    Torch Pruning

    DepGraph: Towards Any Structural Pruning

    ...The library focuses on reducing the size and computational cost of neural networks by removing redundant parameters and channels while maintaining model performance. It introduces a graph-based algorithm called DepGraph that automatically identifies dependencies between layers, allowing parameters to be pruned safely across complex architectures. This dependency analysis makes it possible to prune large networks such as transformers, convolutional networks, and diffusion models without breaking the computational graph.
    Downloads: 0 This Week
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  • 25
    AIQuant

    AIQuant

    AI-powered platform for quantitative trading

    ...It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. Resource summary: network-wide resource summary, practical cases, paper interpretation, and code implementation.
    Downloads: 0 This Week
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