Showing 10 open source projects for "data collection algorithm"

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  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
    Learn More
  • Cloud-based help desk software with ServoDesk Icon
    Cloud-based help desk software with ServoDesk

    Full access to Enterprise features. No credit card required.

    What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
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  • 1
    Fuzzy machine learning framework

    Fuzzy machine learning framework

    A library and a GUI front-end for fuzzy machine learning

    Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.
    Downloads: 1 This Week
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  • 2
    AllenNLP

    AllenNLP

    An open-source NLP research library, built on PyTorch

    AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional...
    Downloads: 0 This Week
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  • 3
    Brain Tokyo Workshop

    Brain Tokyo Workshop

    Experiments and code from Google Brain’s Tokyo research workshop

    ...The repository includes implementations, experimental data, and supporting research papers that accompany published studies. Notable works such as Weight Agnostic Neural Networks and Neuroevolution of Self-Interpretable Agents highlight the team’s exploration of how AI can learn more efficiently and transparently. Overall, this repository serves as an open research hub for sharing ideas and advancing the understanding of intelligent systems.
    Downloads: 4 This Week
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  • 4
    Bibliograph

    Bibliograph

    Open Source Online Bibliographic Data Management

    Bibliograph is a powerful and intuitive open source web application for the collaborative collection, editing and publishing of bibliographic data such as a bibliographies, small library collections or shared research data. It features a modern user interface similar to a desktop application.
    Downloads: 0 This Week
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  • Desktop and Mobile Device Management Software Icon
    Desktop and Mobile Device Management Software

    It's a modern take on desktop management that can be scaled as per organizational needs.

    Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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  • 5

    E-Reader

    Extreem Reader for Cosmological simulation data P-Gadet2 and ART codes

    Extreem Reader for Cosmological simulation data P-Gadet2 and ART codes.It conserves memory by using memory mapped files. Contains some basic analysis tools such a KD-Tree, Minimum Spanning Tree, and rendering module using PMViewer algorithm.
    Downloads: 0 This Week
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  • 6
    Chemin Optimal

    Chemin Optimal

    allow to Find the optimal path using FORD algorithm

    Chemin optimal allows to draw nodes on a scene and link them with Arcs. You can affect values to each arc (the path's length). By clicking the launch button, chemin optimal show you the optimal path of the graphs using FORD algorithm. All operations are shown step by step. You can export the scene to a XML file. You can also load scene freom existing XML file. Chemin optimal check errors automatically before finding the minimal path. Chemin optimal is written in JAVA( JAVAFX ).
    Downloads: 0 This Week
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  • 7
    Pascal's Canvas

    Pascal's Canvas

    Expanding Pascal's Triangle like structures in 2D

    Alg entry is simplified by being able to choose from 21 preset algs. Or, they may be adjusted or entered from scratch. Six different "Pascalloid" output modes allow the data to be graphically explored and browsed. Help is self-contained. Now there is a way to copy data from the output into the clipboard, and to paste tab-deliniated data from the clipboard to make an algorithm.
    Downloads: 0 This Week
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  • 8

    SyntheticWSI

    Tools to generate and visualize artificial whole slide images

    Java 8+ required. Collection of tools to help generate artificial Whole Slide Images (WSIs). A WSI is stored as a ZIP archive of JPG tiles, and this software contains a tool to visualize this format. SVS files can be used directly for texture extraction (thanks to the included Bio-Formats library). Main source files in package fr.unistra.wsi.synthetic.
    Downloads: 0 This Week
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  • 9
    This is a MATLAB implementation of inverse compositional Active Appearance Models (AAMs), as described in the "Active Appearance Models Revisited" paper by Iain Matthews and Simon Baker.
    Downloads: 0 This Week
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  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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  • 10
    In most cases,Developer required implementation library repeatedly for some modual.this project collection algorithm and implementation.Provide the necessary documentation.
    Downloads: 0 This Week
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