Search Results for "graph" - Page 7
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Showing 492 open source projects for "graph"
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YCharts
YCharts is a graph library for Android
YCharts is a Jetpack-compose-based charts library that enables developers to easily integrate various types of charts/graphs into their existing UI to visually represent statistical data. YCharts supports both cartesian(XY-charts) and polar charts(Radial charts). -
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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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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. -
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vivid
Vivid3D is an open-source 3D engine with powerful 2D UI.
Vivid3D is a full 3D engine with open-source code, which also includes a full 2D UI. This UI is combined with the engine for the "Vivid3D" tool - which is similar in usage to Unity3D, in some regards. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Atomix
A Kubernetes toolkit for building distributed applications
Atomix is a cloud-native runtime for building stateful, scalable, configurable, and reliable distributed applications in Kubernetes. The Atomix API provides a set of high-level building blocks (referred to as distributed primitives) for building distributed systems. The architecture of Atomix incorporates the lessons learned from experience over the past decade of building high-availability cloud infrastructure. The primary focus of the project is to decouple applications from specific data... -
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Ostara
Ostara is an admin app for Spring Boot applications
Ostara is a modern desktop app for managing and monitoring Spring Boot applications with actuator API, similar to Spring Boot Admin. Our goal is to make the process more user-friendly and straightforward. With Ostara we wanted to create a tool that just works out of the box, without the need for anything besides a functioning Actuator API on the other end. Ostara allows you to gain insights into the performance and health of your applications by providing real-time data of metrics such... -
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Common Resource Grep - crgrep
Common Resource Grep
CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources. A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources. CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on. Here you... -
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Fruit
Fruit, a dependency injection framework for C++
...It supports constructor injection, assisted injection for factory patterns, scoping (singleton vs. per-request), and provider chains while keeping overhead minimal. Modules declare provided interfaces and requirements, and the injector ensures the whole graph is complete before you ship, eliminating many runtime surprises. Because bindings are ordinary C++ code, they integrate naturally with headers, visibility rules, and link-time optimization. Fruit’s design aims to deliver the ergonomics of DI frameworks from managed languages while staying faithful to C++ performance and compile-time guarantees. -
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Jadecy
Java lib to compute (code) deps, SCCs, and cycles (Johnson algorithm).
...JadecyMain class). API entry point for Java code dependencies is the Jadecy class, or DepUnit that makes use of it and is designed for unit tests. API entry point for general graph computations is the net.jadecy.graph package. Requires Java 5 or later. Also available on github: https://github.com/jeffhain/jadecy -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Work Case Toolkit 0.4 beta 1
Support variant based Java program execution, adapted to support MDE.
...Our main goal is to define an API that we can use embedded into any Java application to support dynamic execution based on variant flows. The variants are controlled by a graph decision using features diagrams relationships. The project was originally planned in 2005 to support Model Driven Architecture OMG approach, focusing specially on the management of architectural changes and models transformers. The main goal of the program is to design transformation chains based on features diagram variants. ... -
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solgraph
Visualize Solidity control flow for smart contract security analysis
Visualize Solidity control flow for smart contract security analysis. Generates a DOT graph that visualizes the function control flow of a Solidity contract and highlights potential security vulnerabilities. A nice example of piping contract source that is in your clipboard through solgraph, dot, and preview: (Use whatever image previewer is available on your system; Preview.app is available on Mac) You have to have graphviz installed (brew install graphviz) to render the DOT file as an image. ... -
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LuaRadio
A lightweight, embeddable software-defined radio framework
LuaRadio is a lightweight, embeddable flow graph signal processing framework for software-defined radio. It provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. LuaRadio is built on LuaJIT, has a small binary footprint of under 750 KB (including LuaJIT), has no external hard dependencies, and is MIT-licensed. -
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
The ml-surveys repository is a broad, maintainable overview of survey papers across many subfields of machine learning — including deep learning, NLP, computer vision, graph ML, reinforcement learning, recommendation systems, embeddings, meta-learning, and more. Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. ... -
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Jraph
A Graph Neural Network Library in Jax
...The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. Jraph also comes with a model zoo—a collection of forkable reference implementations of common message-passing GNN architectures, such as Graph Networks, Graph Convolutional Networks, and Graph Attention Networks. -
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Apollo CLI
Tooling for development and production Apollo workflows
Apollo CLI brings together your GraphQL clients and servers with tools for validating your schema, linting your operations for compatibility with your server, and generating static types for improved client-side type safety. Over time, your graph evolves to incorporate data from more and more parts of your organization. Apollo Federation is the industry-standard open architecture for distributing your graph across multiple services, enabling different backend teams to maintain different subgraphs independently. Apollo's industry-standard, open-source GraphQL clients for web, Kotlin, and iOS provide everything your apps need to fetch, cache, and interact with data from your graph. ... -
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This is a method for identifying graphs using MD5 hashing. It can be used for graph equality comparisons and to facilitate graph isomorphism testing. The graphs can be labeled or unlabeled.
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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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sol2
Lua API wrapper with advanced features and top notch performance
sol2 is a C++ library binding to Lua. It currently supports all Lua versions 5.1+ (LuaJIT 2.0+ and MoonJIT included). sol2 aims to be easy to use and easy to add to a project. The library is header-only for easy integration with projects, and a single header can be used for drag-and-drop start up. sol2 makes use of C++17 features. GCC 7.x.x and Clang 3.9.x (with -std=c++1z and appropriate standard library) or higher should be able to compile without problems. sol2 is checked by-hand for... -
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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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pyTorch Tutorials
Build your neural network easy and fast
...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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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. -
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Graph4NLP
Graph4nlp is the library for the easy use of Graph Neural Networks
Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing (i.e., DLG4NLP). It provides both full implementations of state-of-the-art models for data scientists and also flexible interfaces to build customized models for researchers and developers with whole-pipeline support. Built upon highly-optimized runtime libraries including DGL , Graph4NLP has both high running efficiency and great extensibility. The architecture of... -
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Plumbing
Prismatic's Clojure(Script) utility belt
...For example, we can compile a Graph lazily so that step values are computed as needed. Or, we can parallel-compile the Graph so that independent step functions are run in separate threads. -
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MACE
Deep learning inference framework optimized for mobile platforms
...UI responsiveness guarantee is sometimes obligatory when running a model. Mechanism like automatically breaking OpenCL kernel into small units is introduced to allow better preemption for the UI rendering task. Graph level memory allocation optimization and buffer reuse are supported. The core library tries to keep minimum external dependencies to keep the library footprint small.
