Search Results for "data capture framework" - Page 28
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Showing 2278 open source projects for "data capture framework"
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TrustGraph
Deploy reasoning AI agents powered by agentic graph RAG in minutes
TrustGraph is an AI-driven framework designed to assess and visualize trust relationships within networks, aiding in the analysis of trustworthiness and influence among entities. -
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Starknet Foundry
Blazing fast toolkit for developing Starknet contracts
Starknet Foundry is a fast development toolkit for building and testing Starknet smart contracts. It is written in Rust and built around native Cairo testing and Starknet-specific execution infrastructure. The project includes snforge for contract testing and sncast for interacting with deployed Starknet contracts from the command line. It is useful for developers who need testing, deployment, transaction handling, chain data access, and contract interaction tools in one workflow. The... -
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A2UI
A Protocol for Agent-Driven Interfaces
A2UI (Agent-to-User Interface) is an open-source protocol and set of libraries developed by Google to enable AI agents to generate rich, interactive user interfaces instead of relying solely on text-based responses. The project introduces a declarative JSON format that allows agents to describe the structure, components, and behavior of a user interface, which is then rendered by the client using its own native components. This approach separates UI intent from UI implementation, making it... -
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Phlex
Object-oriented views in Ruby
Phlex is a Ruby-based framework for building HTML and SVG views using object-oriented programming principles, offering a unique alternative to traditional template systems like ERB. It allows developers to write UI components entirely in Ruby, providing full control over structure, logic, and rendering without mixing HTML and templating syntax. One of its key advantages is performance, as it can render HTML extremely quickly while maintaining predictable scaling even with complex component hierarchies. ... -
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Claude Scientific Skills
A set of ready to use Agent Skills for research, science, engineering
Claude Scientific Skills is a large open source collection of ready-to-use scientific capabilities that extend AI coding agents into full research assistants. The project provides more than 170 curated skills covering domains such as genomics, drug discovery, medical imaging, physics, and advanced data analysis. Each skill bundles documentation, examples, and tool integrations so agents can reliably execute complex multi-step scientific workflows. The framework follows the open Agent Skills standard and works with multiple AI development environments including Claude Code, Cursor, and Codex. Its primary goal is to reduce the friction of scientific computing by giving AI agents structured access to specialized libraries, databases, and research pipelines. ... -
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Redot Engine
Multi-platform 2D and 3D game engine
Redot Engine is an open-source game engine that aims to provide a flexible foundation for building games — likely offering a modern, modular structure so developers can compose only the systems they need (rendering, physics, input, scripting, etc.). It is built to give a base framework rather than a full “batteries-included” engine, which makes it suitable for developers who prefer minimalism, want complete control over architecture, or desire to build custom workflows. Because it’s... -
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TypeSpec
Language for defining cloud service APIs and shapes
TypeSpec is a language for defining cloud service APIs and shapes. TypeSpec is a highly extensible language with primitives that can describe API shapes common among REST, OpenAPI, gRPC, and other protocols. TypeSpec is excellent for generating many different API description formats, client and service codes, documentation, and many other assets. All this while keeping your TypeSpec definition as a single source of truth. Using TypeSpec, you can create reusable patterns for all aspects of an... -
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Python Outlier Detection
A Python toolbox for scalable outlier detection
...PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS. -
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TodoApp
Todo application with ASP.NET Core Blazor WASM, Minimal APIs
TodoApp is a reference todo application demonstrating a modern full-stack web architecture. Its front end uses a browser-based WebAssembly application, while the backend exposes REST endpoints through Minimal APIs. An object-relational mapper and SQLite provide persistent data storage, with built-in orchestration tooling coordinating application services and dependencies. Authentication examples include identity management, cookies, bearer tokens, and optional social sign-in providers. A... -
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Element Plus
A Vue.js 3 UI Library made by Element team
Element Plus is a comprehensive UI component library for Vue 3 that provides a wide range of pre-built, production-ready interface elements designed to accelerate web application development. It is the successor to the widely used Element UI framework and has been fully rewritten in TypeScript to take advantage of Vue 3’s Composition API and modern tooling. The library offers a cohesive design system along with a large collection of components such as forms, tables, navigation elements, and data visualization tools, enabling developers to build complex interfaces efficiently. ... -
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face.evoLVe
High-Performance Face Recognition Library on PaddlePaddle & PyTorch
face.evoLVe is a high-performance face recognition library designed for research and real-world applications in computer vision. The project provides a comprehensive framework for building and training modern face recognition models using deep learning architectures. It includes components for face alignment, landmark localization, data preprocessing, and model training pipelines that allow developers to construct end-to-end facial recognition systems. The repository supports multiple neural network backbones such as ResNet, DenseNet, MobileNet, and ShuffleNet, enabling experimentation with different architectures depending on performance requirements. ... -
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FlexLLMGen
Running large language models on a single GPU
FlexLLMGen is an open-source inference engine designed to run large language models efficiently on limited hardware resources such as a single GPU. The system focuses on high-throughput generation workloads where large batches of text must be processed quickly, such as large-scale data extraction or document analysis tasks. Instead of requiring expensive multi-GPU systems, the framework uses techniques such as memory offloading, compression, and optimized batching to run large models on commodity hardware. The architecture distributes computation and memory usage across the GPU, CPU, and disk in order to maximize the number of tokens processed during inference. ... -
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Floneum
Instant, controllable, local pre-trained AI models in Rust
Floneum is an open-source platform for building AI-powered workflows using large language models through a visual and extensible interface. The system allows users to design complex AI pipelines using a drag-and-drop workflow builder rather than writing extensive code. It focuses on enabling developers and researchers to create language model applications that combine different tools, data sources, and AI capabilities into automated workflows. Floneum supports a plugin architecture that... -
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MetaCLIP
ICLR2024 Spotlight: curation/training code, metadata, distribution
MetaCLIP is a research codebase that extends the CLIP framework into a meta-learning / continual learning regime, aiming to adapt CLIP-style models to new tasks or domains efficiently. The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation across base and target domains to measure how well the model retains its general knowledge while specializing as needed. ... -
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VGGT
[CVPR 2025 Best Paper Award] VGGT
...The repo provides inference pipelines to estimate geometry from monocular inputs, stereo pairs, or brief sequences, together with evaluation harnesses for common geometry benchmarks. Training utilities highlight data curation and augmentations that preserve geometric cues while improving generalization across scenes and cameras. -
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TypeScript Express Starter
Quick and Easy TypeScript Express Starter
...That's why we avoid supersets with starter packages that introduce TypeScript. The package is configured to use TypeScript instead of JavaScript. Express is a fast, open and concise web framework and is a Node.js based project. npx is a tool in the JavaScript package management module, npm. This is a tool that allows you to run the npm package on a single run without installing the package. If you do not enter a project name, it defaults to typescript-express-starter. TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. ... -
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Symfony Monolog Bridge
Provides integration for Monolog with various Symfony components
Symfony Monolog Bridge is a Symfony component that provides seamless integration between the Monolog logging library and Symfony applications. It acts as a bridge, allowing developers to leverage Monolog's robust logging capabilities within the Symfony framework. The bridge supports various logging handlers, including files, databases, and third-party services, while also allowing customization of log channels and formatting. -
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Python API for JMComic
Python crawler and API for downloading JMComic albums and images
JMComic-Crawler-Python is a Python library and crawler framework designed to programmatically access and download comic content from the JMComic platform. It provides a structured API that allows developers to retrieve albums, chapters, and images using simple Python code while handling the necessary network requests and data processing behind the scenes. It supports both web-based and mobile API interfaces, enabling flexible interaction with the platform depending on the available endpoints. ... -
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Gatling Studio
Desktop app that helps you craft Gatling load-testing simulations
Gatling Studio is a native desktop application created to simplify the creation of Gatling load-testing simulations from real browser traffic. Instead of hand-writing scenarios in Scala or Java from scratch, you use Gatling Studio to drive a Chromium-based browser through a typical user journey. The tool captures all HTTP and HTTPS requests and responses, saves them as a HAR file, and then automatically converts that data into a structured Gatling project with groups, pauses, and exec... -
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Vision Transformer Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA
This repository provides a from-scratch, minimalist implementation of the Vision Transformer (ViT) in PyTorch, focusing on the core architectural pieces needed for image classification. It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and... -
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Animated Drawings
Code to accompany "A Method for Animating Children's Drawings"
AnimatedDrawings is a framework that converts user sketches or line drawings into fully animated 2D motion sequences using learned motion priors. The idea is that you draw a simple static figure (stick figure, silhouette, or contour lines), and the system produces plausible skeletal motion (walking, jumping, dancing) that adheres to the drawn shape constraints. -
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Prompt Declaration Language
Prompt Declaration Language is a declarative prompt programming lang
LLMs will continue to change the way we build software systems. They are not only useful as coding assistants, providing snipets of code, explanations, and code transformations, but they can also help replace components that could only previously be achieved with rule-based systems. Whether LLMs are used as coding assistants or software components, reliability remains an important concern. LLMs have a textual interface and the structure of useful prompts is not captured formally. Programming... -
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Cypht
Lightweight Open Source webmail written in PHP and JavaScript
All your E-mail, from all your accounts, in one place. Cypht is not your father's webmail. Unless you are one of my daughters, in which case it is your father's webmail. Cypht is like a news reader, but for E-mail. Cypht does not replace your existing accounts - it combines them into one. And it's also a news reader. The driving force behind Cypht development is to provide combined views for multiple accounts, but it's also a standard E-mail client that lets you browse and manage IMAP... -
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UNO
A Universal Customization Method for Single and Multi Conditioning
UNO is a project by ByteDance introduced in 2025, titled “A Universal Customization Method for Both Single and Multi-Subject Conditioning.” It suggests a framework for image (or more general generative) modeling where the model can be conditioned either on a single subject or multiple subjects — which may correspond to generating or customizing images featuring specific people, styles, or objects, possibly with fine-grained control over subject identity or composition. Because the project is... -
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Magnitude
Vision AI browser agent for automation, testing, and extraction
Browser Agent by Magnitude is an open source, vision-first browser automation framework that enables users to control web interfaces using natural language instructions. It leverages visually grounded AI models to interpret and interact with web pages based on what is seen on the screen rather than relying solely on the DOM structure. This approach allows the agent to generalize better across complex and modern websites, making it more robust than traditional selector-based automation tools. ...
