Search Results for "data capture framework" - Page 4
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Showing 158 open source projects for "data capture framework"
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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Amazon Kinesis Flink Connectors
Contains various Apache Flink connectors to connect to AWS data
This library contains various Apache Flink connectors to connect to AWS data sources and sinks. This repository contains various Apache Flink connectors to connect to AWS Kinesis data sources and sinks. Flink maintain backwards compatibility for the Sink interface used by the Firehose Producer. This project is compatible with Flink 1.x, there is no guarantee it will support Flink 2.x should it release in the future. -
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Binding.scala
Reactive data-binding for Scala
Binding.scala is a data-binding library for Scala, running on both JVM and Scala.js. Binding.scala can be used as the basis of UI frameworks, however latest Binding.scala 12.x does not contain any build-in UI frameworks anymore. For creating reactive HTML UI, you may want to check out html.scala, which is a UI framework based on Binding.scala, and it is also the successor of the previously built-in dom library. -
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Wheefun Options Parsing Library
Portable command line options parsing
This library provides portable command line parsing which can be used across several platforms to provide a consistent command line interface. WFOPT uses the model-view-controller pattern: options are specified via an option set, which are interpreted via a parser object and whose behavior can be modified using controller objects. This library is object-oriented and interaction occurs with it at a high level. Programmers can easily write their own parsers if none of the included parsers fit... -
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Lullaby
A collection of C++ libraries designed to help teams
Lullaby is a modular collection of high-performance C++ libraries developed by Google for creating immersive virtual and augmented reality (VR/AR) experiences. It provides a flexible framework built around an Entity-Component-System (ECS) architecture, enabling developers to design efficient, scalable, and data-driven 3D applications. The framework includes tools and APIs for rendering full 3D environments, managing spatial audio, handling animations, and constructing interactive UI elements optimized for VR interfaces. ... -
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QOR
Libraries written in Go abstracting features needed for business apps
QOR is architected from the ground up to accelerate development and deployment of Content Management Systems, E-commerce Systems, and Business Applications. QOR is comprised of modules that abstract common features for such systems, such as a configurable and flexible back office, a content publishing system, a media library, and much more. We built QOR at The Plant to accelerate development for our clients, it is at the core of our engineering strategy, and we maintain it on an ongoing... -
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Golden Layout
A multi window layout manager for webapps
...The library integrates with popular frontend frameworks such as Angular and Vue, and includes support for virtual components to bridge framework-specific rendering models. -
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Darknet YOLO
Real-Time Object Detection for Windows and Linux
This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project. -
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Jraph
A Graph Neural Network Library in Jax
Jraph (pronounced “giraffe”) is a lightweight JAX library developed by Google DeepMind for building and experimenting with graph neural networks (GNNs). It provides an efficient and flexible framework for representing, manipulating, and training models on graph-structured data. The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time compilation. The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. ... -
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Flowy
The minimal javascript library to create flowcharts
...The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. Events emitted by flowy enable integration with your own data model, so you can sync block positions, connections, and metadata back to a database or application state. It is framework-agnostic, so it can be dropped into vanilla JavaScript projects or wrapped inside React, Vue, or other frameworks. -
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Riverpod
A reactive caching and data-binding framework
Riverpod is a modern, framework-agnostic state management and dependency injection library for Dart and Flutter that emphasizes compile-time safety and explicit data flow. Instead of tying state to widget trees, it models state as providers that can be read anywhere, making logic more testable and decoupled from UI. It supports synchronous state, async data (futures/streams) with built-in loading/error handling, and advanced patterns like derived state and provider scopes. ... -
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SelectPage
A simple style and powerful selector, including ajax remote data
A simple style and powerful selection jQuery plugin, including ajax remote data, autocomplete, pagination, tags, i18n and keyboard navigation features. -
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PyTorchVideo
A deep learning library for video understanding research
...The library includes efficient implementations of state-of-the-art architectures such as SlowFast, X3D, and MViT, optimized for both research prototyping and production inference. It supports video I/O pipelines, data augmentation, distributed training, and mixed precision computation for large-scale experiments. PyTorchVideo also connects seamlessly with other Meta AI tools such as Detectron2 and PyTorch3D for multimodal video analysis. Designed to accelerate research and deployment, it serves as a unified framework for reproducible, high-performance video AI development. -
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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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...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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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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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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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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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. ... -
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Json Node Tree Library
Represents JSON doc as a nodes tree for transforms like XPATH & XSLT.
Json Node Tree framework is provisioning of transformation operations for JSON documents similar XML XPATH and XSLT. The framework parses textual JSON document to nodes tree that represents JSON entity: object, array or value of primitive type. Generated tree allows to modify values of nodes and/or structure of the given JSON document. Representation of JSON object as a nodes tree allows implement an operations such as path query and transformations (like XPATH and XSLT for XML). -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable... -
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React Charts
Simple, immersive & interactive charts for React
TanStack React-Charts is a headless React library focused on composable, customizable, and performant charting components, providing flexible chart primitives without imposing styling or rendering constraints. Simple, immersive and interactive charts for React. Extensible with custom rendering layers and styles. Supports various chart types (line, bar, pie, etc.) -
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WebRTC Android
webrtc VideoCall VideoConference
WebRTC Android is a sample project that showcases how to implement real-time peer-to-peer communication (audio, video, and data) on Android using WebRTC. It demonstrates a complete pipeline—from signaling and connection setup to media capture and transmission—making it an excellent reference for developers looking to integrate WebRTC into their mobile apps. The project includes UI components and handles network state changes, codec configuration, and ICE negotiation to provide a robust base for real-world applications.
