Search Results for "data capture framework" - Page 48
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Showing 2706 open source projects for "data capture 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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Graph Capture
Fast 2D charting from raw data
The software was designed for suitable chart creation. From text files or programs, that haven't visual charts themselves, data is passed to "Graph Capture" and plotted there. But you have to write Perl RegEx expressions to extract X and Y-values from raw data. Otherwise, you can request suitable filter templates here https://www.facebook.com/vlad.dubov.77. For making RegEx expressions short docs are also included in the program. You can find "Help: regular expressions in Perl" in the installation folder or in the program's top bar. ... -
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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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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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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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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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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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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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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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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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...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.
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Grabber of Pictures
Quick search and download pictures from Google Images
Grabber of Pictures is a cross platform desktop application that offers efficient automation of searching and downloading pictures from "Google Pictures". Versions of the application for Windows, Linux, MacOS are available. https://www.grabber.pictures Features Duplicate all Google search settings (size, aspect ratio, type or color of image, etc.) Cross platform application (Windows, Linux and MacOS) User friendly and multilingual interface Search for an unlimited number of... -
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niagara-belimo-iot
Niagara Driver for connecting to the Belimo Cloud API
The Belimo driver for Niagara framework allows N4 supervisor or Jace 8000 to integrate your Belimo devices' digital twin. It implements the Belimo Cloud API and it has been developed within the Belimo Developer Space framework. -
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BioNetExplorer
Framework for Exploration of Bio-signal Processing DNNs in Wearables
The BioNetExplorer framework systematically generates and explores multiple DNN architectures for bio-signal processing in wearable devices. Our framework varies key neural architecture parameters to search for an embedded DNN with low hardware overhead that can be deployed in wearable edge devices to analyze the bio-signal data and to extract the relevant information, such as arrhythmia and seizure. -
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BeeStation-Hornet
99.95% station. 0.05% bees
BeeStation-Hornet is a SS13 fork known for its "99.95% station, 0.05% bees" ethos—offering robust RP gameplay, managed antag behavior, and solid mechanics rooted in tgstation framework with its own unique tweaks. You will find BUILD.bat in the root folder of BeeStation, double-clicking it will initiate the build. It consists of multiple steps and might take around 1-5 minutes to compile (particularly the first time). Unix users can directly call ./tools/build/build. You'll also want to edit... -
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Navigo
A simple vanilla JavaScript router
...It also supports hash-based routing for projects that need simpler deployment or legacy compatibility. Navigo includes parameterized routes, navigation helpers, lifecycle hooks, not-found handling, default handlers, and easy integration with links through a data attribute. It is a strong fit for developers who want routing behavior without adopting a large frontend framework. -
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Luminance HDR
Complete solution for HDR photography
Luminance HDR is a complete suite for HDR imaging workflow. It provides a wide range of functionalities, during both the fusion stage and the tonemapping stage. Its graphical user interface, based on Qt5, runs on a variety of platforms, such as Microsoft Windows, Mac OS X 10.9 and later and several Unix flavors (Linux, FreeBSD and others). Input images can be supplied in multiple formats, from JPEG to RAW files. In the same way, output can be saved in many different formats as well, from... -
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BestBooks
BestBooks Accounting Application Framework (BAAF)
Accounting is hard, and writing software for accounting is even more difficult. BestBooks solves this problem with its Accounting Application Framework. This framework enables accountants and developers to build accounting systems without having to know the entire accounting terminology. Over the years, BestBooks has been one of the most successful Accounting Application Framework software. This platform is enterprise grade and has a lot to offer when it comes to security and data encryption. ... -
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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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ALGO Billing Software
ALGO GST Billing Software
ALGO is an easy GST Billing Software for small businesses. You can make & share Invoices on WhatsApp, manage stocks/Inventory, make estimate bills, generate GSTR reports, track unpaid invoices, send payment reminders. Even a person with no educational background can easily use this ERP Software. ALGO Billing Software offers a complete billing solution bundled with Sales, Purchase, Inventory, GST, Financial management, Barcode, CRM, SMS, Email, and Powerful analytics reports for your... -
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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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Holochain-rust
The Holochain framework implemented in rust
Holochain-rust is an implementation of the Holochain framework in Rust, providing the core libraries and developer tooling needed to build peer-to-peer distributed applications without relying on centralized servers or blockchain consensus mechanisms. The framework follows an agent-centric architecture, where each participant maintains their own data chain while sharing and validating data through a distributed hash table.
