Search Results for "data capture framework" - Page 56
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Showing 2706 open source projects for "data capture framework"
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Om
ClojureScript interface to Facebook's React
Om is a ClojureScript UI framework that builds on Facebook’s React, offering a client/server architecture with features like snapshotable and undoable UIs, inspired by React's Relay and Netflix's Falcor, plus Datomic-like querying for simplified state management. Om borrows ideas liberally from Facebook's Relay and Netflix's Falcor, with a dash of inspiration from Datomic pull syntax to avoid the typical incidental complexity that arises from client/server state management. There is a Quick... -
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ChunJun
A data integration framework
ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks. -
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Webcam Capture API
Allow integrated or USB-connected webcams to be accessed from Java
This library allows you to use your built-in or external webcam directly from Java. It's designed to abstract commonly used camera features and support various capturing frameworks. Assume a situation when your code depends on some capturing framework, but suddenly you have to drop it and use a different, maybe newer one (e.g. replace archaic JMF with newest GStreamer). By doing this you will have to rewrite significant piece of your code because these frameworks are completely different and not compatible at all. This is where Webcam Capture API comes to save the world - it was created to remove the burden of such situations so you do not have to rewrite your code ever again, but instead, you can simply switch the driver class to a different one. -
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JS-Data
Give your data the treatment it deserves
JSData is a framework-agnostic, datastore-agnostic ORM for Node.js and the Browser. Adapters allow JSData to connect to various data sources such as Firebase, MySql, RethinkDB, MongoDB, localStorage, Redis, a REST API, etc. With JSData you can re-use your data modeling code between environments, keep your data layer intact when transitioning between app frameworks, and work with a unified data API on the server and the client. -
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Numerics for Chemical Engineering
Numerical models for chemical and process engineering
NCE Calculation Framework is a library of routines, models and data applicable to chemical and process engineering calculations, written in Java. -- NEW -- www.chesolver.com *ONLINE CALCULATORS*. A set of solvers to perform calculations consistently on any device, from smart-phone to desktop. The project includes the following ready to use software all based on the same core library: * Online Calculators at www.chesolver.com * Extensions for Libreoffice/Openoffice Calc spreadsheet: - NCE: https://extensions.libreoffice.org/extensions/nce - NCE-Units: https://extensions.libreoffice.org/extensions/nce-units Check out also our video channel: https://www.youtube.com/channel/UCt2EGdw33k2u19PnZAi8YJA -
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Laravel Larabbs
A forum project base on Laravel
Laravel is a web application framework with expressive, elegant syntax. We believe development must be an enjoyable and creative experience to be truly fulfilling. Laravel takes the pain out of development by easing common tasks used in many web projects. Laravel has the most extensive and thorough documentation and video tutorial library of all modern web application frameworks, making it a breeze to get started with the framework. -
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FlexibleParser_Java
Group of multi-purpose Java-converted-from-C# parsing libraries.
FlexibleParser (Java) is currently formed by the following independent libraries/parts: - UnitParser. It allows to easily deal with a wide variety of situations involving units of measurement. - NumberParser. It provides a common framework for all the .NET numeric types. AUTHORSHIP & COPYRIGHT I, Alvaro Carballo Garcia (varocarbas), am the sole author of each single bit of this code. All the contents of this repository can be considered public domain. For more information about my... -
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MCHproject
Meterological, Climatological and Hidrological database and client.
MCH is a powerful and extremely light solution to store, handle, view and analyse meteorological, climatological and hydrological data collected from manual analogic gauges or automated electronic measuring stations. It has a database and a client program to administrate, capture and load data, view and search, and analyse the information -
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FlexibleParser
FlexibleParser is a group of multi-purpose .NET parsing libraries.
FlexibleParser (C#/.NET) is currently formed by the following independent libraries/parts: - UnitParser. It allows to easily deal with a wide variety of situations involving units of measurement. - NumberParser. It provides a common framework for all the .NET numeric types. - DateParser. It enhances the default .NET date/time support. AUTHORSHIP & COPYRIGHT I, Alvaro Carballo Garcia (varocarbas), am the sole author of each single bit of this code. All the contents of this... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Siamese and triplet learning
Siamese and triplet networks with online triplet mining in PyTorch
Siamese and triplet learning is a PyTorch implementation of Siamese and triplet neural network architectures designed for learning embedding representations in machine learning tasks. These types of networks learn to map images into a compact feature space where the distance between vectors reflects the similarity between inputs. Such embeddings are commonly used in applications like face recognition, image similarity search, and few-shot learning. The repository demonstrates how to train... -
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A shell for using the methods of Contextual Logic to do qualitative data analysis, mathematical research on the theory underlying Conceptual Knowledge Processing, or learning Formal Concept Analysis. It uses the framework provided by the Tockit project..
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IT KASM
IT Management Tool for managing IT operational functions
Throw IT in the KASM - LIVE DEMO is online - http://demo.itkasm.com The IT KASM is a management tool (and framework) to manage almost anything in an IT organization. If you can think it, IT KASM can probably manage it. In the fast pace world of IT as a service organization, IT Professionals need to provide quick and accurate information, support, and service. IT KASM is extremely easy to use, full UI, easy to set up in minutes. The IT KASM is all about speed, functionality, ease of use, ease of administration, and accessing quality data quickly. ... -
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WKZombie
WKZombie is a Swift framework for iOS/OSX to navigate within websites
WKZombie is a Swift framework for iOS/OSX to navigate within websites and collect data without the need of a User Interface or API, also known as a Headless browser. It can be used to run automated tests/snapshots and manipulate websites using Javascript. WKZombie is an iOS/OSX web-browser without a graphical user interface. It was developed as an experiment in order to familiarize myself with using functional concepts written in Swift 4. -
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Graphcool Framework
Graphcool is an open-source backend development framework
...Users could deploy Graphcool either locally (e.g. via Docker) or on a managed cloud offering. The framework also provided features like schema evolution, migrations, data loaders for performance, and built-in tooling to manage endpoints and deployments. -
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Serenata de Amor
Artificial Intelligence for social control of public administration
Serenata de Amor is an open civic technology project that uses data science and artificial intelligence to promote transparency and accountability in public administration. The project was developed by a community of volunteers associated with Open Knowledge Brasil who believe that open data and technology can help citizens monitor government spending. It focuses on analyzing publicly available datasets related to reimbursements claimed by Brazilian congress members in order to detect... -
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survol
RDF-based framework monitoring business systems activity
A Python agent and a web interface aiming to help the analysis and investigation of a legacy application. A set of machines, processes, databases, programs etc ... all communicating with each other, manipulating your data, and whose software architecture has become, with time, complicated, difficult to understand, and undocumented. Data are aggregated with an RDF inference engine, creating a global vision of the business information processing. -
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Exl2Sql
Excel to SQL
This tool will convert an Excel Spreadsheet (.xls and .xlsx files) into SQL INSERTs to one table. The first row of your excel sheet will be used as the column names so you cannot have any NULL values. Then the data underneath the column name is applied into that column with the generated insert statement. You can Save or Copy the data and then use Find and Replace if you need to tweak. Good for big data. Needed this for my work so created over the weekend, happy to share with the community. Requires .NET framework on your PC. If you're on windows you're okay. -
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Simple, Fast, Extensible application framework for web sites and applications. Contains event notification system, Database layer, MVC. PHP / MySQL.
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Spots
Spots is a cross-platform view controller framework
Spots is a cross-platform view controller framework for building component-based UIs. The internal architecture is built using generic view models that can be transformed both to and from JSON. So, moving your UI declaration to a backend is as easy as pie. Data source and delegate setup is handled by Spots, so there is no need for you to do that manually. The public API is jam-packed with convenience methods for performing mutation, it is as easy as working with a regular collection type. ... -
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Escape From The Maze
A fantasy RPG.
THIS PROJECT HAS MOVED TO GITHUB Code and Releases hosted on GitHub: https://github.com/alanmclachlan/escapeftmaze Dev Blog: http://escapeftmaze.blogspot.com/ -
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Merlin.jl
Deep Learning for Julia
Merlin is a deep learning framework written in Julia. It aims to provide a fast, flexible and compact deep learning library for machine learning. Merlin is tested against Julia 1.0 on Linux, OS X, and Windows (x64). -
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TorchCraft
Connecting Torch to StarCraft
We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from a machine learning framework, here Torch. This white paper argues for using RTS games as a benchmark for AI research, and describes the design and components of TorchCraft. TorchCraft is a BWAPI module that sends StarCraft data out over a ZMQ connection. This lets you parse StarCraft data and interact with BWAPI from anywhere. The TorchCraft client should be installed from C++, Python, or Lua. ... -
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CSV Viewer
Open and view CSV files
CSV Viewer is a light tool that you can use on any windows device that has PowerShell 2.0 and .net framework on. CSV Viewer will open a browse for file dialog box that will only allow you to choose a CSV file. Once you choose a file a data grid will open the file allowing you to view the content, you can even filter and sort the content. -
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Phaser Spine
A plugin for Phaser 2 that adds Spine support
Phaser Spine is a plugin that integrates Spine animation support into Phaser 2, allowing developers to incorporate complex skeletal animations into their games. It facilitates the use of Spine's powerful animation tools within the Phaser framework. -
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LocoKit
Location, motion, and activity recording framework for iOS
A Machine Learning based location recording and activity detection framework for iOS. Combined, simplified Core Location and Core Motion recording. Filtered, smoothed, and simplified location and motion data. Near real-time stationary / moving state detection. Automatic energy use management, enabling all-day recording. Automatic stopping and restarting of recording, to avoid wasteful battery use. Machine Learning-based activity type detection.
