Search Results for "data capture framework" - Page 53
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Showing 2706 open source projects for "data capture framework"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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JSVerbalExpressions
JavaScript Regular expressions made easy
VerbalExpressions is a JavaScript library that helps to construct difficult regular expressions. Methods have a return type of VerbalExpression except where mentioned otherwise. If there is no mention of a method’s parameters, it is to be assumed that it has none. VerEx is the function that is exported from within VerbalExpressions.js and is to be the first method in chains that describe verbal expressions. Construct and return a new instance of VerbalExpression. Used to support the new... -
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Spotify OBS Player
Free and open source spotify player overlay for streamers
Free and open source spotify player overlay for streamers, who would share about currently played music. How to add to OBS? 1. Run Program 2. Click start button and authorizite 3. On OBS add window capture and catch window "Playback" 4. Hurray you did it Current version: 0.6b Github Repository: https://github.com/MRmlik12/Spotify-OBS-Player Requirements: * Windows 7. 8.1, 10 * .NET Framework 4.8 Changelog: 0.6b: * Added background color & font color, size to change * Added new app "Updater", which can update "Spotify OBS Player" to newest version * Changed app layout * Fixed bugs 0.5.1b: * Reapired threading * Removed message while music is paused -
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AngularMaterialFirebase
Full stack starter app with Angular 8, Material Design and Firebase
AngularMaterialFirebase is a boilerplate project combining Angular, Angular Material, and Firebase. It provides a foundation for building web applications with authentication, Firestore database integration, and Material UI components. The project aims to streamline development with Firebase’s backend services and Angular’s UI framework. -
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bento-starter
Full-Stack solution to quickly build PWA applications with Vue.js
...BentoStarter helps you getting started by proposing a default app structure based on best practices. As this project is a template and not a CLI, you can modify the whole project according to your needs. Prerender your different app pages and boost SEO with meta-data description per page. -
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. ... -
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The Moqui Ecosystem is a series of open source components for enterprise applications all built on a common framework (Moqui Framework) written in Java and Groovy. The components include tools that plug in to the framework, business artifacts, and applications. Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable screens (SimpleScreens), and integration components for EDI, Authorize.NET, and Shippo. ...
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TensorFlow.jl
A Julia wrapper for TensorFlow
A wrapper around TensorFlow, a popular open-source machine learning framework from Google. -
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GVAR
The GVAR Toolbox 1.1 is designed for the purpose of GVAR modelling.
The GVAR Toolbox was originally launched in December 2010 with the release of version 1.0, sponsored by the European Central Bank. Version 1.1 was released in July 2011 and is available to download, free of charge, from this website. Derived from Dr. L.Vanessa Smith's project Exploring International Economic Linkages Using a Global Model, the GVAR Toolbox 1.1 is the second release of a collection of MatLab procedures with an Excel-based interface, designed for the purpose of GVAR... -
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TenorSpace.js
Neural network 3D visualization framework
...After preprocessing the model, TensorSpace supports the visualization of pre-trained models from TensorFlow, Keras and TensorFlow.js. TensorSpace is a neural network 3D visualization framework designed for not only showing the basic model structure but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations. By applying TensorSpace API, it is more intuitive to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, etc. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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ELF (Extensive Lightweight Framework)
An End-To-End, Lightweight and Flexible Platform for Game Research
ELF (Extensive, Lightweight, and Flexible) is a high-performance platform for reinforcement learning research that unifies simulation, data collection, and distributed training. A C++ core provides fast environments and concurrent actors, while Python bindings expose simple APIs for agents, replay, and optimization loops. It supports both single-agent and multi-agent settings, with batched stepping and shared-memory queues that keep GPUs saturated during training. ELF introduced widely used... -
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RegExr
Tool for creating, testing, and learning about Regular Expressions
RegExr is an online tool to learn, build, & test Regular Expressions (RegEx / RegExp). RegExr was created by gskinner.com, and is proudly hosted by Media Temple. Edit the Expression & Text to see matches. Roll over matches or the expression for details. PCRE & JavaScript flavors of RegEx are supported. Validate your expression with Tests mode. The side bar includes a Cheatsheet, full Reference, and Help. You can also Save & Share with the Community, and view patterns you create or favorite... -
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MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. ... -
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automl-gs
Provide an input CSV and a target field to predict, generate a model
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model definition interface to getting an optimized model and data transformation pipeline in multiple popular ML/DL frameworks, with minimal Python dependencies (pandas + scikit-learn + your framework of choice). automl-gs is designed for citizen data scientists and engineers without a deep statistical background under the philosophy that you don't need to know any modern data preprocessing and machine learning engineering techniques to create a powerful prediction workflow. -
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Invenio
Invenio digital library framework
Invenio is a highly customizable open-source framework for building large-scale digital repositories and research data platforms. Developed by CERN, it is designed to manage, index, and provide access to metadata-rich content such as publications, datasets, and multimedia files. Invenio provides a modular architecture, making it suitable for libraries, archives, and research institutions. -
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OpenPerform
Brings real-time motion capture to artists and performers
OpenPerform brings real-time motion capture to artists and performers excluded by the high barriers to entry of expensive or "closed" systems. Our open source javascript performance framework enables artists to take direct control of the medium, to quickly collaborate with others, and to easily craft new experiences for all web-based platforms (including AR and VR). Check out the various styles and effects OpenPerform has to offer with our BVH animation demo! -
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ConcatPDF
PDF Concatenation Tool
ConcatPDF is the tool to concatenate PDF files. It can concatenate, extract, encrypt, decrypt, configure PDF files, convert image files to PDF. GUI version and CUI version are both available. iText.NET is iText porting on .NET Framework by J#. This library allows you to generate PDF, (X)HTML, XML, RTF files on Microsoft.NET Framework including ASP.NET. -
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Rough
Create graphics with a hand-drawn, sketchy, appearance
Rough is a graphics library that renders hand-drawn-style sketches using the HTML5 Canvas or SVG. It emulates the appearance of a pencil sketch or doodle, giving digital drawings an informal and expressive look. The library is ideal for creative applications, data visualizations, and prototypes that benefit from a casual visual style. Rough is written in JavaScript and easily integrates with modern front-end frameworks and visualization tools. -
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ShadowSocksShare
Python ShadowSocks framework
This project obtains the shared ss(r) account from the ss(r) shared website crawler, redistributes the account and generates a subscription link by parsing and verifying the account connectivity. Since Google plus will be closed on April 2, 2019, almost all the available accounts crawled before come from Google plus. So if you are building your own website, please keep an eye on the updates of this project and redeploy using the latest source code. -
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django-dynamic-scraper
Creating Scrapy scrapers via the Django admin interface
Django Dynamic Scraper (DDS) is an app for Django build on top of the scraping framework Scrapy. While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project. -
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Wally
Distributed Stream Processing
Wally is a fast-stream-processing framework. Wally makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. -
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CueMol
CueMol - Molecular Visualization Framework
CueMol - Molecular Visualization Framework based on OpenGL, Mozilla XULRunner, and javascript -
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plot.py
direct data plotting and evaluation
The Plot.py project tries to supply a measurement data visualization and treatment framework being easy to use while keeping the freedom for advanced users to execute additional data treatment algorithms. Plotting is done via gnuplot and the script used to produce the graphs can be exported for later use/changes. Many raw experimental data types (mostly of x-ray and neutron scattering experiments) are supported with more to be added on user request. ... -
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SIVIC is an open-source, standards-based software framework and application suite for processing and visualization of DICOM MR Spectroscopy data. Through the use of DICOM, SIVIC aims to facilitate the application of MRS in medical imaging studies.
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Code Catalog in Python
Algorithms and data structures for review for coding interview
code-catalog-python serves as a grab-bag of small, readable Python examples that illustrate common algorithms, data structures, and utility patterns. Each snippet aims to be self-contained and easy to study, with clear inputs, outputs, and the essential logic on display. The catalog format lets you scan for an example, copy it, and adapt it to your use case without wading through a large framework. It favors clarity over micro-optimizations so learners can grasp the idea before worrying about edge performance. ...
