Search Results for "data capture framework" - Page 18
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Showing 1027 open source projects for "data capture framework"
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Hazel
Lightweight update server for Electron apps
This project lets you deploy an update server for Electron apps with ease: You only need to click a button. The result will be faster and more lightweight than any other solution out there! Once it's deployed, paste the deployment address into your code (please keep in mind that updates should only occur in the production version of the app, not while developing). Since Hazel routes all the traffic for downloading the actual application files to GitHub Releases, you can use their API to... -
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MVIKotlin
Extendable MVI framework for Kotlin Multiplatform
Extendable MVI framework for Kotlin Multiplatform with powerful debugging tools (logging and time travel) MVI stands for Model-View-Intent. It is an architectural pattern that utilizes unidirectional data flow. The data circulates between Model and View only in one direction, from Model to View and from View to Model. MVIKotlin is a Kotlin Multiplatform framework that provides a way of (not only) writing shared code using MVI pattern. -
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CardParts
A reactive, card-based UI framework built on UIKit for iOS developers
CardParts is the second-generation Card UI framework for the iOS Mint application. This version includes many updates to the original card part framework, including improved MVVM, data binding (via RxSwift), use of stack views and self-sizing collection views instead of sizing cells, 100% swift and much more. The result is a much simpler, easier-to-use, more powerful, and easier-to-maintain framework. -
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Mantle
Model framework for Cocoa and Cocoa Touch
Mantle makes it easy to write a simple model layer for your Cocoa or Cocoa Touch application. Core Data solves certain problems very well. If you need to execute complex queries across your data, handle a huge object graph with lots of relationships, or support undo and redo, Core Data is an excellent fit. If you're just trying to access some JSON objects, Core Data can be a lot of work for little gain. Nonetheless, if you're using or want to use Core Data in your app already, Mantle can... -
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Duct
Server-side application framework for Clojure
Duct is a highly modular, server-side application framework for Clojure built around a data-driven architecture. It organizes systems using immutable configuration, enabling clean assembly of components and streamlined development with backward compatibility via Integrant foundations. As with all Leiningen templates, Duct will create a new directory with the same name as your project. For information on how to run and build your project, refer to the project's README.md file. ... -
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FFME
FFME: The Advanced WPF MediaElement (based on FFmpeg)
FFME: The Advanced WPF MediaElement (based on FFmpeg). FFME is an advanced and close drop-in replacement for Microsoft's WPF MediaElement Control. While the standard MediaElement uses DirectX (DirectShow) for media playback, FFME uses FFmpeg to read and decode audio and video. This means that for those of you who want to support stuff like HLS playback, or just don't want to go through the hassle of installing codecs on client machines, using FFME might just be the answer. Fast media seeking... -
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Propeller
Develop more, Code less. Propeller is a front-end responsive framework
Propeller is a front-end responsive framework based on Google’s Material Design Standards & Bootstrap. Library with 25 Responsive UI Components. Ready to use template which speeds up the Development process. Detailed User Manual which provides step by step usage for every Propeller component. The downloaded folder will have following directories and files, with a logical grouping of common assets including both compiled and minified versions. Just copy the compiled CSS and JS files and the... -
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Chatto
A lightweight framework to build chat applications, made in Swift
Chatto is a Swift lightweight framework to build chat applications. It's been designed to be extensible and performant. Along with Chatto there is ChattoAdditions, a companion framework which includes cells for messages and an extensible input component. You can find more details about how it was implemented in our blog. Chatto is a Swift framework to ease the development of chat applications. -
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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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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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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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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.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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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. -
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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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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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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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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). ... -
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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. -
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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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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"... -
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bioweb
polyglot language framework to analyze genetic data
polyglot framework using Python/C++/JavaScript to fast develop applications to analyze biological sequences -
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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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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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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. ...
