Showing 1109 open source projects for "data capture framework"

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    Awesome Blazor

    Awesome Blazor

    Resources for Blazor, a .NET web framework using C#/Razor

    Blazor lets you build interactive web UIs using C# instead of JavaScript. Blazor apps are composed of reusable web UI components implemented using C#, HTML, and CSS. Both client and server code is written in C#, allowing you to share code and libraries. Blazor is a feature of ASP.NET, the popular web development framework that extends the .NET developer platform with tools and libraries for building web apps. Blazor can run your client-side C# code directly in the browser, using WebAssembly....
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  • 2
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work!
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  • 3
    App Metrics

    App Metrics

    App Metrics is an open-source and cross-platform .NET library

    App Metrics is an open-source and cross-platform .NET library used to record metrics within an application. App Metrics can run on .NET Core or on the full .NET framework also supporting .NET 4.5.2. App Metrics abstracts away the underlying repository of your Metrics for example InfluxDB, Prometheus, Graphite, Elasticsearch etc, by sampling and aggregating in memory and providing extensibility points to flush metrics to a repository at a specified interval. App Metrics provides various...
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  • 4
    XLForm

    XLForm

    XLForm is the most flexible and powerful iOS library

    XLForm is a powerful Objective-C framework for creating dynamic and customizable forms in iOS applications. It simplifies the process of building forms with various input types, validation, and UI customization.
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    ML for Trading

    ML for Trading

    Code for machine learning for algorithmic trading, 2nd edition

    On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms,...
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  • 6
    .Net Core for Delphi/Lazarus

    .Net Core for Delphi/Lazarus

    The best library to work with the .Net Core from Delphi and Lazarus.

    The .Net Core for Delphi/Lazarus (dotNetCore4Delphi) is a .Net Core Runtime Library for Delphi which helps Delphi/Pascal developers work with .Net Core. It is designed to provide a way to interact with .Net Core applications from Delphi/Pascal. What dotNetCore4Delphi can do: - Access .Net Core Framework Class Library. - Access Third Party .Net Core Libraries. - Access Your .Net Core Libraries. - etc Competitive Advantages: - Cross-platform framework that runs on Windows, Linux and...
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  • 7
    JUnit 4

    JUnit 4

    A programmer-oriented testing framework for Java

    JUnit is a simple framework to write repeatable tests. It is an instance of the xUnit architecture for unit testing frameworks. You need to have a JDK installed and a text editor. (In general it is recommended to use a build tool for building your software and running the tests.). JUnit features include assertions for testing expected results, test fixtures for sharing common test data, test runners for running tests.
    Downloads: 20 This Week
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  • 8
    PyTorch SimCLR

    PyTorch SimCLR

    PyTorch implementation of SimCLR: A Simple Framework

    For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the...
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  • 9
    CNN for Image Retrieval
    ...The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that can be adapted for custom datasets, making it useful for experimenting with retrieval systems in computer vision. By leveraging CNN architectures, the project showcases how learned embeddings can capture semantic similarity across varied images. This resource serves as both an educational reference and a foundation for further exploration in image retrieval research.
    Downloads: 10 This Week
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  • 10
    Haxentric

    Haxentric

    An Adobe/Apache Flex-like Haxe/HTML/JavaScript Framework

    Haxentric is a client side Haxe/HTML/JavaScript framework. It is similar to Adobe/Apache Flex (but not the same). It has a precompiler (named HPC) which converts HXML codes to Haxe classes. Haxe classes are converted to JavaScript codes by the Haxe compiler. It has a packager (named HPKG) which creates single HTML applications. And with the embedder (named HE) you can embed text files into a class. Available under LGPL 3.0.
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  • 11
    fastNLP

    fastNLP

    fastNLP: A Modularized and Extensible NLP Framework

    fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc..
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  • 12
    XML Editor/Validator/Designer with CAMV

    XML Editor/Validator/Designer with CAMV

    CAM XML Editor for XML+JSON+Hibernate+SQL Open-XDX sponsored by Oracle

    The CAM editor is the leading open source XML Editor/Validation/Schema toolset for rapidly building / deploying XML /JSON /Hibernate /SQL data /Forms applications. Visual WYSIWYG data design, rule entry wizards + drag & drop dictionary components. Will import, analyze / refactor from XML Schema / JSON. Oracle is a proud enterprise sponsor; with NIEM.gov support. Do SQL data import/map+ Open Data API delivery+ Hibernate JPA + UI Forms/Pencil Makes XSD schema (default, flatten, NIEM, & OASIS modes) + JAXB bindings; Mindmap FreeMind or UML models(XMI); XML unit test & live SQL data; HTML docs + spreadsheets (NIEM IEPDs). ...
    Downloads: 8 This Week
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  • 13
    Homie for ESP8266

    Homie for ESP8266

    ESP8266 framework for Homie, a lightweight MQTT convention

    An Arduino for ESP8266 / ESP32 implementation of Homie, an MQTT convention for the IoT. This branch of Homie for ESP8266 implements Homie 3.0.1 and adds support for ESP32. PlatformIO is an open-source ecosystem for IoT development with the cross-platform build system, library manager and full support for Espressif ESP8266 development. It works on the popular host OS, Mac OS X, Windows, Linux 32/64, Linux ARM (like Raspberry Pi, BeagleBone, CubieBoard). Available in the PlatformIO registry....
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  • 14
    gradslam

    gradslam

    gradslam is an open source differentiable dense SLAM library

    gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation.
    Downloads: 0 This Week
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  • 15
    Essentials

    Essentials

    General purpose utilities and hash functions for Android and Java

    Essentials is a lightweight collection of high-performance utility classes designed to enhance standard Java and Android development without introducing heavy dependencies. The library focuses on providing efficient data structures and helper utilities that often outperform equivalent components in the standard Java API. It is intentionally minimalistic and is not positioned as a full framework, but rather as a focused toolkit that fills common gaps developers encounter in everyday projects. Essentials emphasizes speed and low footprint, with components such as LongHashMap delivering measurable performance improvements over standard implementations. ...
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  • 16
    Chromely

    Chromely

    Build cross platform HTML desktop apps on .NET

    For developers who are interested in WebView2 there is EdgeSharp, an offshoot of Chromely. Chromely is a lightweight alternative to Electron.NET, Electron for .NET/.NET Core developers. Chromely is a .NET/.NET Core HTML5 Chromium desktop framework. It is focused on building apps based on Xilium.CefGlue, CefSharp implementations of embedded Chromium (CEF) without WinForms or WPF, but can be extended to use WinForms or WPF. Chromely uses Windows, Linux and MacOS native GUI API as "thin"...
    Downloads: 0 This Week
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  • 17
    bioweb

    bioweb

    polyglot language framework to analyze genetic data

    polyglot framework using Python/C++/JavaScript to fast develop applications to analyze biological sequences
    Downloads: 0 This Week
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  • 18
    Reactive MVVM

    Reactive MVVM

    My way to MVVM using KotlinX Coroutines and Android data-binding

    My way to MVVM using KotlinX Coroutines with Android data binding. Use MVVM using architecture components with to separate Android Framework with a clean architecture to my domain logic. Use Android Databinding with LiveData to glue ViewModel and Android.
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  • 19
    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. Studio offers teams and companies...
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  • 20
    SentEval

    SentEval

    A python tool for evaluating the quality of sentence embeddings

    ...It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic structure. Datasets are wrapped with unified preprocessing and metrics so results are comparable across papers and implementations. Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. ...
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  • 21
    CloudTest-Cloud java unit test framework

    CloudTest-Cloud java unit test framework

    A redefined framework with new approach and methodology for unit test

    CloudTest is a redefined unit testing approach and methodology, which can make your testing jobs become much more easy and efficient. It is a pure java lightweight framework integrated test cases management, test data management, assert management, automation regression, performance monitor and test report in one.
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  • 22
    vue-objccn

    vue-objccn

    Use Vue.js to develop a cross-platform full stack application

    ...By the way, Weex has released a new version, and then there is time to put Weex version of the open source again. As the Objc china website is directly response html data, to simulate the network request to return data, I build a backend and write API to return data.
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  • 23

    Json Node Tree Library

    Represents JSON doc as a nodes tree for transforms like XPATH & XSLT.

    Json Node Tree framework is provisioning of transformation operations for JSON documents similar XML XPATH and XSLT. The framework parses textual JSON document to nodes tree that represents JSON entity: object, array or value of primitive type. Generated tree allows to modify values of nodes and/or structure of the given JSON document. Representation of JSON object as a nodes tree allows implement an operations such as path query and transformations (like XPATH and XSLT for XML).
    Downloads: 0 This Week
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  • 24
    p6spy

    p6spy

    Framework that enables database data to be seamlessly intercepted

    P6Spy is a framework that enables database data to be seamlessly intercepted and logged with no code changes to existing applications. The P6Spy distribution includes P6Log, an application that logs all JDBC transactions for any Java application.
    Downloads: 1 This Week
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  • 25
    GoRose ORM

    GoRose ORM

    Mini database ORM for golang

    ...GoRose provides data object binding (map, struct), and supports string table name and map data return. Provides great flexibility. It is recommended to use data binding to complete the query operation so that the data source type can be controlled.
    Downloads: 0 This Week
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