Showing 34 open source projects for "half-edge"

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  • 1
    YAO

    YAO

    Yao A low code engine to create web services and dashboard

    Yao allows developers to create web services by processes. Yao is a low-code engine that creates a database model, writes API services, and describes dashboard interface just by JSON for web & hardware, no code, and 10x productivity. Yao is based on the flow-based programming idea, developed in the Go language, and supports multiple ways to expand the data stream processor. This makes Yao extremely versatile, which can replace programming languages ​​in most scenarios, and is 10 times more...
    Downloads: 46 This Week
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  • 2
    Gretel Synthetics

    Gretel Synthetics

    Synthetic data generators for structured and unstructured text

    ...Mitigate GDPR and CCPA risks, and promote safe data access. Accelerate CI/CD workflows, performance testing, and staging. Augment AI training data, including minority classes and unique edge cases. Amaze prospects with personalized product experiences.
    Downloads: 0 This Week
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  • 3
    GraphNeuralNetworks.jl

    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.
    Downloads: 0 This Week
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  • 4
    ggraph

    ggraph

    Grammar of Graph Graphics

    ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data.
    Downloads: 0 This Week
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  • 5
    Nuclio

    Nuclio

    High-Performance Serverless event and data processing platform

    Nuclio is an open source and managed serverless platform used to minimize development and maintenance overhead and automate the deployment of data-science-based applications. Real-time performance running up to 400,000 function invocations per second. Portable across low laptops, edge, on-prem and multi-cloud deployments. The first serverless platform supporting GPUs for optimized utilization and sharing. Automated deployment to production in a few clicks from Jupyter notebook. Deploy one of the example serverless functions or write your own. The dashboard, when running outside an orchestration platform (e.g. Kubernetes or Swarm), will simply be deployed to the local docker daemon. ...
    Downloads: 3 This Week
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  • 6
    FiftyOne

    FiftyOne

    The open-source tool for building high-quality datasets

    ...Use it to get hands-on with your data, including visualizing complex labels, evaluating your models, exploring scenarios of interest, identifying failure modes, finding annotation mistakes, and much more! Surveys show that machine learning engineers spend over half of their time wrangling data, but it doesn't have to be that way.
    Downloads: 1 This Week
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  • 7
    SQLPad

    SQLPad

    Web-based SQL editor run in your own private cloud

    ...The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server.
    Downloads: 3 This Week
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  • 8
    Finch.jl

    Finch.jl

    Sparse tensors in Julia and more

    Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code.
    Downloads: 0 This Week
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  • 9
    IoTDB

    IoTDB

    Apache IoTDB

    Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there are tens of devices under LAN network. ...
    Downloads: 5 This Week
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  • 10
    PySyft

    PySyft

    Data science on data without acquiring a copy

    ...The Syft ecosystem seeks to change this system, allowing you to write software which can compute over information you do not own on machines you do not have (total) control over. This not only includes servers in the cloud, but also personal desktops, laptops, mobile phones, websites, and edge devices. Wherever your data wants to live in your ownership, the Syft ecosystem exists to help keep it there while allowing it to be used privately.
    Downloads: 0 This Week
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  • 11
    qvge

    qvge

    Qt Visual Graph Editor

    qvge is a multiplatform graph editor written in C++/Qt. Its main goal is to make possible visually edit two-dimensional graphs in a simple and intuitive way. Please note that qvge is not a replacement for such a software like Gephi, Graphvis, Dot, yEd, Dia and so on. It is neither a tool for "big data analysis" nor a math application. It is really just a simple graph editor :)
    Downloads: 10 This Week
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  • 12
    Emerge

    Emerge

    Browser-based interactive codebase and dependency visualization tool

    ...The structure, coloring, and clustering is calculated and based on the idea of combining a force-directed graph simulation and Louvain modularity. emerge is mainly written in Python 3 and is tested on macOS, Linux, and modern web browsers (i.e., the latest Safari, Chrome, Firefox, and Edge).
    Downloads: 0 This Week
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  • 13

    Hyperspectral data analysis in R

    Handling and basic analysis of hyperspectral data in R

    The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.
    Downloads: 0 This Week
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  • 14
    Social Network Visualizer

    Social Network Visualizer

    Social Network Analysis and Visualization software

    Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder)
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    Downloads: 5 This Week
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  • 15
    DocWire SDK

    DocWire SDK

    Award-winning modern data processing SDK in C++20

    ...For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to expand its capabilities, focusing on versatile data extraction, platform support, and seamless integration with various systems. DocWire SDK is dedicated to streamlining data processing, reducing development time and costs, and harnessing the potential of AI. Its advancements promise a superior experience compared to its predecessor, DocToText.
    Downloads: 1 This Week
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  • 16
    Encord Active

    Encord Active

    The toolkit to test, validate, and evaluate your models and surface

    ...Encord Active has been designed as a all-in-one open source toolkit for improving your data quality and model performance. Use the intuitive UI to explore your data or access all the functionalities programmatically. Discover errors, outliers, and edge-cases within your data - all in one open source toolkit. Get a high level overview of your data distribution, explore it by customizable quality metrics, and discover any anomalies. Use powerful similarity search to find more examples of edge-cases or outliers.
    Downloads: 0 This Week
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  • 17
    StellarGraph

    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...
    Downloads: 0 This Week
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  • 18
    Flame Graphs

    Flame Graphs

    Stack trace visualizer

    ...The x-axis shows the stack profile population, sorted alphabetically (it is not the passage of time), and the y-axis shows stack depth, counting from zero at the bottom. Each rectangle represents a stack frame. The wider a frame is is, the more often it was present in the stacks. The top edge shows what is on-CPU, and beneath it is its ancestry. The colors are usually not significant, picked randomly to differentiate frames. Flame charts were first added by Google Chrome's WebKit Web Inspector (bug). While inspired by flame graphs, flame charts put the passage of time on the x-axis instead of the alphabet.
    Downloads: 0 This Week
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  • 19
    Excel to Graphviz

    Excel to Graphviz

    Create graphviz diagrams with excel

    Free, easy to use, excel tool to create data and process flow diagrams with table data In separate excel sheets you define items(nodes), lines(edges) and grouping(clusters) Separate definition of node, edge and cluster styles Graph settings sheet Output control sheet Examples and readme are included in the zip file Get it working: -Install graphviz (http://graphviz.org/Download.php) -Download Excel to Graphviz -Open one of the ExcelToGraphviz workbooks -Go to sheet settings and update "dotpath" to where graphviz' dot.exe was installed (e.g. ...
    Downloads: 0 This Week
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  • 20
    Hetionet

    Hetionet

    Hetionet: an integrative network of disease

    Hetionet is a hetnet — network with multiple node and edge (relationship) types — which encodes biology. The hetnet was designed for Project Rephetio, which aims to systematically identify why drugs work and predict new therapies for drugs. The JSON and Neo4j formats contain node and edge properties, which are absent in the TSV and matrix formats, including licensing information. Therefore the recommended formats are JSON and Neo4j.
    Downloads: 0 This Week
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  • 21
    Illustrated Algorithms

    Illustrated Algorithms

    Interactive algorithm visualizations

    Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to...
    Downloads: 0 This Week
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  • 22
    RoundedImageView

    RoundedImageView

    A fast ImageView that supports rounded corners, ovals, and circles

    A fast ImageView (and Drawable) that supports rounded corners (and ovals or circles) based on the original example from Romain Guy. It supports many additional features including ovals, rounded rectangles, ScaleTypes and TileModes. There are many ways to create rounded corners in android, but this is the fastest and best one that I know of because it does not create a copy of the original bitmap, does not use a clipPath which is not hardware accelerated and not anti-aliased, does not use...
    Downloads: 0 This Week
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  • 23
    Arcadia is a light-weight, cross-platform, C++ desktop application designed for visualizing biological networks such as metabolic pathways.
    Downloads: 0 This Week
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  • 24

    BriPy

    A BRIC-seq data analysis package written in Python.

    ...It employs metabolic labeling by BrU of newly synthesized RNAs to chase chronological decreases of BrU-labeled RNA (Pulse-chase labeling), followed by immunoprecipitation with antibody for BrU, construction of cRNA library for High-throughput sequencing and computational data analysis. -What is BriPy? BriPy package is a BRIC-seq data analysis tool written in Python. It can calculate RNA half-life for each transcript and draw graphs describing the kinetics of RNA decay. In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). -Prerequisites To use BriPy package, you will need Python and the following extension packages. Python2.7 or higher NumPy SciPy Matplotlib
    Downloads: 0 This Week
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  • 25
    GPU Edge Detector

    GPU Edge Detector

    GPU Interactive Program For Edge detection

    This is a standalone, all in one Edge Detector that is mainly running on GPU using the CUDA technology. Each algorithm also has an OpenCV counterpart which is the closest one in terms of speed. This project is partly based on the Sobel Filter sample available as part of the CUDA SDK. This project also partly uses the OpenCV library to load different types of image.
    Downloads: 0 This Week
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