Search Results for "data capture framework" - Page 44
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Showing 2278 open source projects for "data capture framework"
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1
Amadeus
Harmonious distributed data analysis in Rust
Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines. ... -
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dcpTool
DNG Camera Profile editor
NEW: Version 1.10.0 is out - Apple Silicon is now natively supported. dcpTool is a tool for editing DNG camera profiles (DCP files). dcpTool can convert DCP files to and from binary form to an editable XML form, and can also directly do a number of useful transformations to DCP files such as "untwisting" them. -
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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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5
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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tensorflow_template_application
TensorFlow template application for deep learning
...It is particularly useful for developers who want to transition from experimental notebooks to structured machine learning applications. By providing a reusable framework, the template reduces the time needed to set up new TensorFlow projects and encourages consistent development practices. -
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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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10
KSFramework
QQ Group：538722494，KSFramework = KEngine + SLua(or xLua)
KSFramework is a Unity3D Asset Bundle development framework that integrates KEngine, SLua/XLua/ILRuntime, and provides a set of auxiliary tools for programming, art, planning, and operation. Vika table vika.cn , API-supported data table, perfect real-time collaboration, can be used in 1000+ scenarios such as silky project management, game planning configuration table, data sorting, etc. -
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flatten_json
Flatten JSON in Python
Flattens JSON objects in Python. flatten_json flattens the hierarchy in your object which can be useful if you want to force your objects into a table. -
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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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jNetPcap - A Libpcap Java Binding
A java PCAP and DPI library
A java wrapper for popular "libpcap" and "WinPcap" libraries. Accurate full API translation. Packet buffers delivered with no copies. Send custom packets, gather statistics. Comprehensive and easily extensible DPI engine. -
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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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OMPrisma
OMPrisma is a library for spatial sound synthesis in OpenMusic
OMPrisma is a library for spatial sound synthesis, embedded in the computer-aided composition environment OpenMusic. As a superset of sound synthesis classes in OMChroma it constitutes a framework to combine sound synthesizers with spatialization engines in an arbitrary fashion, considering spatial attributes at the synthesis level. OMPrisma provides high-level control structures to perform spatial sound synthesis processes at arbitrary scales and complexities. The control of spatial parameters can be integrated with processes developed in OpenMusic in relation to other sound synthesis parameters and to the symbolic data of a compositional framework. -
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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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Self-Attentive Parser
High-accuracy NLP parser with models for 11 languages
LightAutoML is an automated machine learning (AutoML) framework developed by Sberbank AI Lab, designed to facilitate the development of machine learning models with minimal human intervention. -
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lxspider
Educational Python web scraping case collection for many sites
lxSpider is a collection of web scraping examples designed primarily for learning and experimentation with data extraction techniques. It gathers numerous crawler implementations that demonstrate how to collect data from a wide range of websites and online services. It focuses heavily on practical cases that illustrate how different platforms handle requests, authentication parameters, and anti-scraping protections. lxSpider includes examples targeting areas such as e-commerce platforms,... -
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MachineLearningStocks
Using python and scikit-learn to make stock predictions
MachineLearningStocks is a Python-based template project that demonstrates how machine learning can be applied to predicting stock market performance. The project provides a structured workflow that collects financial data, processes features, trains predictive models, and evaluates trading strategies. Using libraries such as pandas and scikit-learn, the repository shows how historical financial indicators can be transformed into machine learning features. The model attempts to predict... -
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WTERP
Factional modular: CRM, SD,MM,WM,HR, Workflo and System configuration.
WTERP is totally free software and It is very suitable for small business management. Which is developed by C#/.net. IIS WebService and SQL Server Community version of the free environment and Database at WinForm-based application framework, including server Web Service, main program framework, organizational structure, authority control, menu navigation, basic data, system parameters, log management, timing tasks, etc.WTERP includes enterprise CRM, SD, MM, WM, OA, HR, Workflow, and other information systems, and aims to help users enhance their management. -
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ruia
Async Python framework for fast and flexible web scraping spiders
Ruia is an asynchronous web scraping micro-framework built for Python that focuses on simplicity, speed, and flexibility when creating web crawlers. Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. -
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Control Room
A macOS app to control the Xcode Simulator
Control Room is a macOS application designed to give developers advanced control over Apple’s iOS, tvOS, and watchOS simulators, streamlining the process of testing and debugging apps. Built on top of Apple’s simctl command-line tool, it provides a graphical interface that simplifies complex simulator configurations and actions. Developers can manipulate various aspects of the simulated device environment, including network conditions, battery status, and system settings, without needing to... -
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Vector AI
A platform for building vector based applications
Vector AI is a framework designed to make the process of building production-grade vector-based applications as quick and easily as possible. Create, store, manipulate, search and analyze vectors alongside json documents to power applications such as neural search, semantic search, personalized recommendations etc. Image2Vec, Audio2Vec, etc (Any data can be turned into vectors through machine learning). -
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ast-hook-forjs-re
AST-based JavaScript reverse engineering and variable tracing toolkit
...Using Abstract Syntax Tree (AST) transformations, it injects hook functions into the code to monitor variable assignments and other runtime changes during execution. This allows ast-hook-for-js-RE to capture variable values in memory and store them in a searchable database, effectively enabling variable-level monitoring of program execution. When a user encounters encrypted parameters in network requests, the captured variable data can be searched to determine where those values originated in the code. Once the relevant variable and code location are identified, analysts can trace backward to extract or reproduce the encryption logic used by the site. -
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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...
