Search Results for "data capture framework" - Page 29
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Showing 2572 open source projects for "data capture framework"
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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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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... -
3
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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5
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. ... -
6
PMXT
A unified API for trading across prediction markets
PMXT is a unified API platform designed for accessing and trading across multiple prediction market exchanges through a single consistent interface. Inspired by CCXT for cryptocurrency exchanges, PMXT standardizes market data, trading operations, and event structures for platforms like Polymarket, Kalshi, Limitless, Smarkets, and more. The framework simplifies working with prediction markets by normalizing differences in APIs, formats, and conventions across providers. PMXT supports both Python and TypeScript SDKs, making it easy for developers to build trading bots, analytics tools, and AI-powered market applications. ... -
7
Internet Pi
Raspberry Pi config for all things Internet
Internet Pi is an Ansible playbook and configuration framework for a Raspberry Pi (or similar single-board computer) that transforms it into a network-infrastructure monitoring and ad-blocking unit. The typical use case is: plug the Pi into your home network, install Pi-hole for DNS-level ad-blocking and privacy, and deploy Prometheus + Grafana to monitor internet connection quality, ping latency, speed tests, and uptime trends. The intention is both practical (reduce ads, manage DNS) and... -
8
vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
...Trained representations transfer well to downstream tasks such as action recognition, temporal localization, and video retrieval, often with simple linear probes or light fine-tuning. The repository typically includes end-to-end recipes—data pipelines, augmentation policies, training scripts, and evaluation harnesses. -
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BuildingAI
Build your own AI application system for free
BuildingAI is an open-source project focused on applying artificial intelligence techniques to architectural design and building information modeling workflows. The platform aims to bridge the gap between natural language interfaces and building design tools by allowing AI systems to interpret user instructions and convert them into structured architectural operations. By combining generative AI capabilities with building data models, the system can assist with tasks such as design... -
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Nano Events
Simple and tiny (107 bytes) event emitter library for JavaScript
Nano Events is a minimalistic, high-performance event emitter library for JavaScript. Its goal is to provide the simplest possible API to add pub/sub capabilities (emitters and listeners) to any JS object or application, while keeping overhead and bundle size extremely small. Rather than offering many complex features, nanoevents focuses on the core primitives: creating an emitter, subscribing to named events, emitting events with arbitrary data, and unsubscribing. Because of its minimal API... -
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The AI Scientist-v2
Workshop-Level Automated Scientific Discovery via Agentic Tree Search
AI-Scientist-v2 is an advanced autonomous research system designed to perform end-to-end scientific discovery using large language models and agent-based orchestration. The platform is capable of generating original research ideas, designing and executing experiments, analyzing and visualizing results, and producing full academic papers without direct human intervention. It introduces a generalized framework that removes reliance on predefined templates, enabling broader applicability across... -
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AI_Tutorial
A selection of learning materials, search, recommendation, advertising
AI_Tutorial is a large curated repository that aggregates high-quality learning resources related to artificial intelligence, machine learning, deep learning, natural language processing, and data engineering. The project functions as a centralized knowledge base designed to help engineers and researchers discover tutorials, technical articles, algorithm explanations, and architecture discussions from across the AI ecosystem. Rather than focusing on a single framework or course, the repository collects materials from many sources such as open-source projects, technical blogs, research papers, and industry engineering posts. ... -
13
Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. Combined with its CLI and integration with optimization tools like OpenVINO, it’s suitable for both research and edge deployment tasks. -
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Keystone
The most powerful headless CMS for Node.js
The most powerful headless CMS for Node.js, built with GraphQL and React. The superpowered CMS for developers. Keystone helps you build faster and scale further than any other CMS or App Framework. Just describe your schema, and get a powerful GraphQL API & beautiful Management UI for content and data. No boilerplate or bootstrapping – just elegant APIs to help you ship the code that matters without sacrificing the flexibility or power of a bespoke back-end. Ship a backend easily without surrendering control. Keystone has all you need to start fast and scale on your terms. ... -
15
aie-book
Resources for AI engineers
...It focuses on bridging the gap between theoretical machine learning knowledge and practical engineering workflows required to deploy AI systems in production. The material emphasizes system design, data pipelines, evaluation strategies, and deployment considerations rather than just model training. It explores how to work with large language models, retrieval systems, and agent-based architectures, providing a practical perspective on how AI is actually used in industry. The repository serves as both a learning resource and a reference, combining explanations, examples, and structured insights into a cohesive framework. -
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PilottAI
Python framework for building scalable multi-agent systems
pilottai is an AI-based autonomous drone navigation system utilizing reinforcement learning for real-time decision-making. It is designed for simulating and training drones to fly safely through dynamic environments using AI-based controllers. -
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deepdoctection
A Repo For Document AI
DeepDoctection is a document AI framework that applies deep learning techniques to analyze and extract structured data from scanned documents, PDFs, and images. deepdoctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated frameworks for fine-tuning, evaluating and running models. ... -
18
Capistrano
Remote multi-server automation tool
A remote server automation and deployment tool written in Ruby. Capistrano extends the Rake DSL with methods specific to running commands on() servers. Capistrano is written in Ruby, but it can easily be used to deploy any language. If your language or framework has special deployment requirements, Capistrano can easily be extended to support them. Capistrano is bundled as a Ruby Gem. It requires Ruby 2.0 or newer. Capistrano can be installed as a standalone Gem, or bundled into your... -
19
InfiniteYou
Flexible Photo Recrafting While Preserving Your Identity
...The team uses a multi-stage training strategy with synthetic multi-sample data per identity to fine-tune for both identity consistency and aesthetic quality. Compared to prior methods, InfiniteYou significantly improves on identity similarity, text-prompt adherence, overall image quality, and avoids common problems such as face copy-pasting artifacts. -
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GenAI Agents
Implementations for various Generative AI Agent techniques
GenAI Agents is a large, tutorial-driven repository that teaches you how to design, build, and experiment with generative AI agents. It spans a spectrum from simple conversational bots and basic question-answering agents to complex multi-agent systems that coordinate on research, education, business workflows, and creative tasks. The implementations leverage modern frameworks such as LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, and more, showing how each can be wired into realistic... -
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Polly
A .NET resilience and transient-fault-handling library for policies
Polly is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner. From version 6.0.1, Polly targets .NET Standard 1.1 and 2.0+. Today's cloud application, mobile, data-streaming, and IoT technologies all depend vitally on reliable connectivity. But underlying systems can fail, and networks are notoriously fickle, outages, latency, transient... -
22
Sokol
minimal cross-platform standalone C headers
...Utility headers integrate libraries such as Dear ImGui and Nuklear or provide debugging, shapes, text, colors, and memory tracking. The libraries follow an STB-style single-header approach and can be incorporated without adopting a large framework. Sokol is designed for small, portable C and C++ applications, games, demos, and emulators. -
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Termimad
A library to display rich (Markdown) snippets and texts
...Safe templates insert dynamic values without accidentally interpreting them as Markdown syntax. Termimad uses Crossterm for terminal behavior and emphasizes precise control without imposing a complete TUI framework. -
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Train LLM From Scratch
A straightforward method for training your LLM
...It is based on the architecture described in Attention Is All You Need and is designed to make the training pipeline understandable rather than hidden behind a large framework. The repository walks through the process from downloading data to generating text with a trained model. It supports training smaller or larger models, including million- and billion-parameter configurations depending on available hardware. A major goal is accessibility, since the author frames it as possible to train models using a single GPU. ... -
25
Mike
OSS AI Legal Platform
Mike is a software project that appears to focus on automation or tooling, likely designed to streamline workflows related to development, deployment, or data processing. It may function as a command-line utility or lightweight framework that integrates with existing systems to improve efficiency. The project emphasizes simplicity and clarity, providing focused functionality without unnecessary overhead. Its design likely supports extensibility, allowing users to adapt it to specific use cases or integrate it into larger pipelines. ...
