Search Results for "data capture framework" - Page 26
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Showing 2706 open source projects for "data capture framework"
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DriveLM
Driving with Graph Visual Question Answering
...The system includes DriveLM-Data, a dataset built on driving environments such as nuScenes and CARLA, where human-written reasoning steps connect different layers of driving tasks. This design allows models to learn relationships between objects, behaviors, and navigation decisions through graph-structured logic. -
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GDINA Package for Cognitively Diagnostic
Package for Cognitively Diagnostic Analyses
Estimating G-DINA model and a variety of widely-used models subsumed by the G-DINA model, including the DINA model, DINO model, additive-CDM (A-CDM), linear logistic model (LLM), reduced reparametrized unified model (RRUM), multiple-strategy DINA model for dichotomous responses. Estimating models within the G-DINA model framework using user-specified design matrix and link functions. Estimating Bugs-DINA, DINO and G-DINA models for dichotomous responses. Estimating sequential G-DINA model... -
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Refine
Build your React-based CRUD applications, without constraints
With Refine you can have it all without compromising your freedom or facing constraints. Refine is headless by design. It doesn’t ship with any pre-styled components or UI by default. Instead, you can use any custom design or UI framework for 100% control over styling. Not ready for going headless yet? No problem. Refine supports four powerful UI frameworks out-of-the box. Refine is a React-based framework for the rapid development of web applications. It eliminates repetitive tasks demanded... -
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OpenSwarm
Claude code for everything except coding
...Its main appeal is giving technical users a forkable, terminal-based framework for building agent teams that produce polished business and creative deliverables. -
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Core ML Tools
Core ML tools contain supporting tools for Core ML model conversion
Use Core ML Tools (coremltools) to convert machine learning models from third-party libraries to the Core ML format. This Python package contains the supporting tools for converting models from training libraries. Core ML is an Apple framework to integrate machine learning models into your app. Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to fine-tune models, all on the user’s device. Core ML optimizes on-device performance by leveraging the CPU, GPU, and Neural Engine while minimizing its memory footprint and power consumption. ... -
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Laravel Workflow
Durable workflow engine that allows users to track job status
Laravel Workflow is a package for the Laravel web framework that provides tools for defining and managing workflows and activities. A workflow is a series of interconnected activities that are executed in a specific order to achieve a desired result. Activities are individual tasks or pieces of logic that are executed as part of a workflow. Laravel Workflow can be used to automate and manage complex processes, such as financial transactions, data analysis, data pipelines, micro-services, job tracking, user signup flows, sagas and other business processes. ... -
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GRR
GRR Rapid Response, remote live forensics for incident response
...GRR server infrastructure consists of several components (frontends, workers, UI servers, fleetspeak) and provides a web-based graphical user interface and an API endpoint that allows analysts to schedule actions on clients and view and process collected data. -
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Neon Database
Neon: Serverless Postgres. We separated storage and compute
...Focus on building applications with time and money-saving features like instant provisioning, autoscaling according to load, and scale to zero. Instantly branch your data and schema to access isolated DB copies for development, CI/CD, and schema migrations with copy-on-write storage. Integrate it into your language or framework within minutes and unlock a simpler developer workflow. -
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TensorFlow
TensorFlow is an open source library for machine learning
Originally developed by Google for internal use, TensorFlow is an open source platform for machine learning. Available across all common operating systems (desktop, server and mobile), TensorFlow provides stable APIs for Python and C as well as APIs that are not guaranteed to be backwards compatible or are 3rd party for a variety of other languages. The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU). TensorFlow... -
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factory_bot
A library for setting up Ruby objects as test data
factory_bot is a fixtures replacement with a straightforward definition syntax, support for multiple build strategies (saved instances, unsaved instances, attribute hashes, and stubbed objects), and support for multiple factories for the same class (user, admin_user, and so on), including factory inheritance. factory_bot provides a framework and DSL for defining and using factories - less error-prone, more explicit, and all-around easier to work with than fixtures. Each factory has a name... -
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FinGPT
Open-Source Financial Large Language Models
FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. ... -
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JBake
Java based open source static site/blog generator for developers
JBake is a Java-based, open source, static site/blog generator for developers & designers. The project uses Gradle 4.9+ as the build system. We configured the gradle check style Plugin to run with the check task. It does not break the build if convention violations are found. But prints a warning and generates a report. Source available on GitHub, licensed under MIT License. Binary distribution contains everything you need apart from a JRE, with no complicated environment setup with 3rd... -
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Pal
A personal context-agent that learns how you work
Pal is an open-source AI personal agent built within the Agno ecosystem that functions as an intelligent digital assistant designed to learn from user activity over time. The system acts as an AI-powered “second brain” capable of capturing, organizing, and retrieving personal knowledge such as notes, bookmarks, research findings, people, and meeting information. Instead of acting as a simple chatbot, Pal continuously builds a structured database of a user’s knowledge and context so it can... -
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VoltAgent
Open Source TypeScript AI Agent Framework
An AI Agent Framework provides the foundational structure and tools needed to build applications powered by autonomous agents. These agents, often driven by Large Language Models (LLMs), can perceive their environment, make decisions, and take actions to achieve specific goals. Building such agents from scratch involves managing complex interactions with LLMs, handling state, connecting to external tools and data, and orchestrating workflows. -
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Specification
Base class with tests for adding specifications to a DDD model
...Overall, Specification provides a structured approach to query reuse and domain-focused data access in modern .NET applications. -
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Claude Code Safety Net
A Claude Code plugin that acts as a safety net
...It includes example safety checks that cover common categories like infinite loops, unsafe system commands, data leakage risks, and visibility constraints, which help engineering teams anticipate and defend against unpredictable agent behavior. -
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ComfyUI-LTXVideo
LTX-Video Support for ComfyUI
ComfyUI-LTXVideo is a bridge between ComfyUI’s node-based generative workflow environment and the LTX-Video multimedia processing framework, enabling creators to orchestrate complex video tasks within a visual graph paradigm. Instead of writing code to apply effects, transitions, edits, and data flows, users can assemble nodes that represent video inputs, transformations, and outputs, letting them prototype and automate video production pipelines visually. This integration empowers non-programmers and rapid-iteration teams to harness the performance of LTX-Video while maintaining the clarity and flexibility of a dataflow graph model. ... -
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S2 Geometry
Computational geometry and spatial indexing on the sphere
s2geometry is Google’s open source geometry library designed for representing, analyzing, and manipulating geometric shapes on a sphere rather than a flat plane. This makes it particularly suited for applications involving geospatial data, such as mapping, spatial indexing, and geographic information systems (GIS). The library provides a robust mathematical framework for spherical geometry, allowing developers to work with polygons, points, and regions on the Earth’s surface using consistent and precise algorithms. Unlike traditional 2D geometry libraries, S2 ensures accuracy over large scales by modeling the globe directly, avoiding distortions caused by map projections. ... -
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Cabin
Cabin is the best JavaScript and Node.js logging service and logging
...Cabin is a drop-in replacement and the best alternative to Sentry, Timber, Airbrake, Papertrail, Loggly, Bugsnag, etc. Cabin will automatically detect and mask the following list of extremely sensitive types of data in your logs. Reduce your disk storage costs through Cabin's automatic conversion of Streams, Buffers, and ArrayBuffers to simplified, descriptive-only objects that otherwise would be unreadable (and obviously pollute your log files and disk storage). Cabin works with the most popular Node.js HTTP frameworks (e.g. Express and Koa), request body handling packages (e.g. multer and body-parser), and the passport authentication framework. ... -
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react-map-gl
React friendly API wrapper around MapboxGL JS
react-map-gl is a suite of React components designed to provide a React API for Mapbox GL JS-compatible libraries. More information is in the online documentation. Starting with v2.0, mapbox-gl requires a Mapbox token for any usage, with or without the Mapbox data service. See about Mapbox tokens for your options. To show maps from a service such as Mapbox you will need to register on their website in order to retrieve an access token required by the map component, which will be used to... -
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TEN
Open-source framework for conversational voice AI agents
TEN (Transformative Extensions Network) is an open source framework designed to empower developers to build real-time multimodal AI agents capable of voice, video, text, image, and data-stream interaction with ultra-low latency. It includes a full ecosystem, TEN Turn Detection, TEN Agent, and TMAN Designer, allowing developers to rapidly assemble human-like, responsive agents that can see, speak, hear, and interact. -
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Emoji Picker Element
A lightweight emoji picker for the modern web
Emoji Picker Element is a lightweight emoji selector distributed as a standards-based web component. It supports Emoji 17.0 where the operating system provides compatible glyphs and can also display application-defined custom emoji. Emoji data is stored in IndexedDB, reducing repeated downloads and keeping the full dataset out of memory. Native system emoji are rendered by default, with optional support for custom emoji fonts. The component includes accessibility features and can be used without a framework or bundler through a simple script import. Developers can customize locale, data sources, skin tones, category ordering, and emoji collections. ... -
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Agent Control
Centralized agent control plane for governing runtime agent behavior
Agent Control is a centralized control plane for governing AI agent behavior at runtime across different frameworks and deployment environments. It lets teams define controls once and apply them consistently to agents without rewriting the agent’s core code. The platform evaluates agent inputs and outputs against configurable policies to reduce risks such as prompt injection, unsafe responses, sensitive data exposure, and policy drift. It is designed for production environments where... -
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NeMo Retriever Library
Document content and metadata extraction microservice
NeMo Retriever Library is a scalable microservice framework designed for extracting, structuring, and enriching content from documents to support downstream generative AI applications. It processes various document types by splitting them into components such as text, tables, charts, and images, and then applies OCR and contextual analysis to convert them into structured data formats. The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient handling of large datasets. ... -
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Clawra
Openclaw as your girlfriend
Clawra is a creative open-source AI persona built as a “skill” or extension for the OpenClaw agent framework that exemplifies how flexible autonomous AI agents can become companions or interactive characters you run yourself. Rather than being a static chatbot tied to a corporate ecosystem, Clawra runs locally or on a private server, giving users full control over the software and data that back her behavior. She is designed not just to answer questions but to maintain a persistent character with memory, backstory, and the ability to present visual outputs like generated selfies through integrated image tools, blending conversational AI with a playful persona. ...
