Showing 223 open source projects for "example"

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  • 1
    Deep learning time series forecasting

    Deep learning time series forecasting

    Deep learning PyTorch library for time series forecasting

    Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series forecasting framework. ...
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  • 2
    rimhistory

    rimhistory

    RimWorld game save data analyzer

    RimWorld game save data analyzer.
    Downloads: 0 This Week
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  • 3
    AWS Step Functions Data Science SDK

    AWS Step Functions Data Science SDK

    For building machine learning (ML) workflows and pipelines on AWS

    ...You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. To run the AWS Step Functions Data Science SDK example notebooks locally, download the sample notebooks and open them in a working Jupyter instance.
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  • 4

    JasperStarter

    Running JasperReports from command line

    JasperStarter is a command line launcher and batch compiler for JasperReports.
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    Downloads: 121 This Week
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  • 5
    RDS - JS - Examples

    RDS - JS - Examples

    TypeScript/JavaScript example code using the RDS API

    Rich Data Services (or RDS) is a suite of REST APIs designed by Metadata Technology North America (MTNA) to meet various needs for data engineers, managers, custodians, and consumers. RDS provides a range of services including data profiling, mapping, transformation, validation, ingestion, and dissemination. For more information about each of these APIs and how you can incorporate or consume them as part of your work flow please visit the MTNA website. RDS-JS-Examples is...
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  • 6
    Omnipay

    Omnipay

    A framework agnostic, multi-gateway payment processing library

    ...It has been designed based on ideas from Active Merchant, plus experience implementing dozens of gateways for CI Merchant. It has a clear and consistent API, is fully unit tested, and even comes with an example application to get you started. You can learn one API and use it in multiple projects using different payment gateways. If you need to change payment gateways you won’t need to rewrite your code. Most official PHP payment gateway libraries are a mess. Most payment gateways have exceptionally poor documentation. So, why use Omnipay instead of a gateway’s official PHP package/example code? ...
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  • 7
    StartBootstrap SB Admin 2

    StartBootstrap SB Admin 2

    A free, open source, Bootstrap admin theme created by Start Bootstrap

    ...It provides a curated set of components—navigation bars, sidebars, cards, forms, modals, alerts, and tables—styled consistently with utility classes and SCSS sources. The template includes ready-to-use example pages such as login/register, 404/blank pages, and basic dashboard layouts to shorten the bootstrapping phase. Charts, data tables, and icons are wired in with common libraries so teams can drop in KPIs, lists, and summaries without designing from scratch. A gulp-based (or similar) build setup compiles and minifies assets, enabling easy customization of color palettes, fonts, and spacing tokens. ...
    Downloads: 1 This Week
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  • 8
    LightGraphs

    LightGraphs

    An optimized graphs package for the Julia programming language

    ...The project goal is to mirror the functionality of robust network and graph analysis libraries such as NetworkX while being simpler to use and more efficient than existing Julian graph libraries such as Graphs.jl. It is an explicit design decision that any data not required for graph manipulation (attributes and other information, for example) is expected to be stored outside of the graph structure itself. Such data lends itself to storage in more traditional and better-optimized mechanisms.
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  • 9
    pycoQC

    pycoQC

    pycoQC computes metrics and generates Interactive QC plots

    PycoQC computes metrics and generates interactive QC plots for Oxford Nanopore technologies sequencing data. PycoQC relies on the sequencing_summary.txt file generated by Albacore and Guppy, but if needed it can also generate a summary file from basecalled fast5 files. The package supports 1D and 1D2 runs generated with Minion, Gridion and Promethion devices and basecalled with Albacore 1.2.1+ or Guppy 2.1.3+. PycoQC is written in pure Python3. Python 2 is not supported.
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  • 10
    STManager

    STManager

    manage assortment in your company

    ...When the right information is needed, then it lets you quickly search for the right product you are looking for. Application designed to help with managing for example postal packages, where each product is very distinct for one another. For source code and more insides of this project, please visit github page: https://github.com/michalwilk123/STManager Name STManager is derived from old name: "Stocktake Manager".
    Downloads: 0 This Week
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  • 11
    Amazon SageMaker Examples

    Amazon SageMaker Examples

    Jupyter notebooks that demonstrate how to build models using SageMaker

    Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations.
    Downloads: 0 This Week
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  • 12
    ClimateMachine.jl

    ClimateMachine.jl

    Earth System Model that automatically learns from data

    The ClimateMachine is a software package that models the evolution of the Earth system over weeks to centuries. The ClimateMachine solves three-dimensional partial differential equations for the distributions of water, momentum, energy, and tracers such as carbon in the atmosphere, oceans, and on land. The ClimateMachine will harness a wide range of Earth observations and data generated computationally to predict the evolution of Earth’s climate and features such as droughts, rainfall...
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  • 13
    DISTOD

    DISTOD

    Distributed discovery of bidirectional order dependencies

    ...DISTOD is based on the single-threaded FASTOD-BID algorithm [1], but DISTOD scales elastically to many machines outperforming FASTOD-BID by up to orders of magnitude. Bidirectional order dependencies (bODs) capture order relationships between lists of attributes in a relational table. They can express that, for example, sorting books by publication date in ascending order also sorts them by age in descending order. The knowledge about order relationships is useful for many data management tasks, such as query optimization, data cleaning, or consistency checking. Because the bODs of a specific dataset are usually not explicitly given, they need to be discovered. ...
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  • 14
    OzGIS free open-source  mapping system

    OzGIS free open-source mapping system

    Analysis and display of Census, business, government attribute data

    ...I am unable to show OzGIS to you, so suggest that you search for "OzGIS lloyd" on Youtube for demonstration videos or "OzGIS" on Pinterest for example maps. You can mail me at cleverco@users.sourceforge.net or use the Discussion tab or post a ticket for problems.
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  • 15
    CNN Explainer

    CNN Explainer

    Learning Convolutional Neural Networks with Interactive Visualization

    In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. ...
    Downloads: 1 This Week
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  • 16
    StellarGraph

    StellarGraph

    Machine Learning on Graphs

    ...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. StellarGraph supports the analysis of many kinds of graphs. StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. ...
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  • 17
    hordes

    hordes

    WordPress Plug curates list of links with titles icons and categories.

    ...If you need to search for a title or a link or any of the tags you can do so using the search box or Horde's convenient Alphbetic search tool. Kind of like a indexing system that shows you everything that is under "A" for example. Store all this information with quick search reminder tags such as the name of the site or the name of the subject for which you wanted to remember the site for. Demo at https://cginvoice.com/info/hordes-list/
    Downloads: 0 This Week
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  • 18
    FuzzyWuzzy

    FuzzyWuzzy

    Fuzzy string matching in Python

    ...One of our most consistently frustrating issues is trying to figure out whether two ticket listings are for the same real-life event (that is, without enlisting the help of our army of interns). To pick an example completely at random, Cirque du Soleil has a show running in New York called “Zarkana”. When we scour the web to find tickets for sale, mostly those tickets are identified by a title, date, time, and venue. We’ve built up a library of “fuzzy” string matching routines to help us along. And good news! We’re open sourcing it. The library is called “Fuzzywuzzy”, the code is pure python, and it depends only on the (excellent) difflib python library.
    Downloads: 3 This Week
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  • 19
    Event Tickets for SilverStripe

    Event Tickets for SilverStripe

    Event tickets for SilverStripe and Event Calendar

    ...Payments are handled trough the SilverStripe Omnipay module. Add the necessary extensions to the DataObject you want to sell tickets on. This can be an Event, for example with an events module. Or you can add the tickets to a special tickets Page, when, for example, you are selling tickets for a festival where one ticket grants access to multiple events. On the extended Object you need to expose a couple of methods that we use to add data to the ticket.
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  • 20
    VHR

    VHR

    Front-end/back-end separated human resources management system

    ...The backend follows a clean, RESTful architecture using Spring Boot with layered services, persistence mappers, and role-based access control so permissions are explicit and auditable. The frontend is built with a component-driven approach, offering polished CRUD screens, searchable tables, import/export of data (for example, via spreadsheets), and contextual dialogs that streamline administrative workflows. Attention is given to practical enterprise needs like pagination, batch operations, file attachments, and printable or exportable reports.
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  • 21
    React-Datasheet

    React-Datasheet

    Excel-like data grid (table) component for React

    This small component allows you to integrate an excel-like datasheet. By default, the spreadsheet handles keyboard navigation and copy-pasting of cells. This example computes expression underneath using mathjs. On an invalid expression, the cell changes color to show the error. Note that react-datasheet does not handle the validation nor the formula computation. Custom renderers allow you to add significant new capabilities to your sheets without requiring changes to react-datagrid itself. This example allows you to reorder both the columns and the rows using drag and drop. ...
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  • 22
    posterdown

    posterdown

    Use RMarkdown to generate PDF Conference Posters via HTML

    ...Many creature comforts from RMarkdown are available in this package such as Markdown section notation, figure captioning, and even citations like this one (Allaire, Xie, McPherson, et al. 2018). The rest of this example poster will show how you can insert typical conference poster features into your own document. Posterdown was created as a proof-of-concept (to myself) that it is possible to make a beautiful poster using open-source reproducible code.
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  • 23
    Beigesoft Enterprise Information System

    Beigesoft Enterprise Information System

    JEE based Accounting web-application.

    ...You can download it from central Maven repository https://search.maven.org/#search%7Cga%7C1%7Cg%3A%22org.beigesoft%22 See https://sites.google.com/site/beigesoftware/eis-bobs-pizza Beigesoft EIS Bob's Pizza example.
    Downloads: 1 This Week
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  • 24
    pybag

    pybag

    Crossplatform files synchronization and backup portable tool.

    ...The synchronization process will only copy changed files. The program is cross-platform and independent from the OS and file system. You may easily synchronize files between Windows and Linux, for example. Symbolic links are supported on all systems (if the OS or file system does not support symlinks, then they are emulated). This program has a GUI and a command line interface.
    Downloads: 0 This Week
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  • 25
    PyQtRPT

    PyQtRPT

    Pyside QtRPT

    ...QtRPT (http://www.qtrpt.tk/index.php) Recommendations: please read "readme.txt" file use QtRptDesigner -> to edit xml files. view examples. Important: from Qt5.12, the package must have the same version and subversion de PySide2 and shiboken2. for example the PyQtRPT_5.12.3 package has a requirement of PySide2_5.12.3 and shiboken2_5.12.3.
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