Showing 39 open source projects for "data dictionary postgresql"

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  • 1
    HasMCP

    HasMCP

    Convert API into MCP Server in seconds

    HasMCP empowers AI development by seamlessly connecting your existing APIs to Large Language Models. Its Automated OpenAPI Mapping instantly translates API documentation into LLM-usable tools, eliminating manual coding. Security is paramount, with Native MCP Elicitation Auth managing complex authentication flows like OAuth2, ensuring user credentials are never exposed. To enhance efficiency, Context Window Optimization intelligently prunes API responses using JMESPath and Goja (JS) logic,...
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  • 2
    find-similar

    find-similar

    User-friendly library to find similar objects

    The mission of the FindSimilar project is to provide a powerful and versatile open source library that empowers developers to efficiently find similar objects and perform comparisons across a variety of data types. Whether dealing with texts, images, audio, or more, our project aims to simplify the process of identifying similarities and enhancing decision-making. https://github.com/findsimilar/find-similar - GitHub repo http://demo.findsimilar.org/ - Demo project and...
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  • 3
    Synonyms

    Synonyms

    Chinese synonyms, chat robot, intelligent question and answer toolkit

    Chinese Synonyms for natural language processing and understanding. Better Chinese synonyms, chatbot, intelligent question and answer toolkit. synonymsCan be used for many tasks in natural language understanding, text alignment, recommendation algorithms, similarity calculation, semantic shifting, keyword extraction, concept extraction, automatic summarization, search engines, etc. Print synonyms in a friendly way for easy debugging. "Synonyms Cilin" was compiled by Mei Jiaju and others in...
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  • 4
    MUSE

    MUSE

    A library for Multilingual Unsupervised or Supervised word Embeddings

    ...The training and evaluation pipeline is lightweight and fast, so experimenting with different languages or initialization strategies is easy. Beyond dictionary induction, the learned embeddings are often used as building blocks for downstream tasks like classification, retrieval, or machine translation.
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    MongoDB Atlas runs apps anywhere

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  • 5
    auto_ml

    auto_ml

    Automated machine learning for analytics & production

    ...Here's an example that includes serializing and loading the trained model, then getting predictions on single dictionaries, roughly the process you'd likely follow to deploy the trained model. Before you go any further, try running the code. Load up some data (either a DataFrame, or a list of dictionaries, where each dictionary is a row of data). Make a column_descriptions dictionary that tells us which attribute name in each row represents the value we’re trying to predict. Pass all that into auto_ml, and see what happens! You can pass in your own function to perform feature engineering on the data.
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  • 6

    Devanagari OCR

    Devanagari Optical Character Recognition, Annotation tool

    The project has source code and data related to the following tools: 1. Optical Character Recognition. Recognize machine printed Devanagari with or without a dictionary. 2. Document Image Analysis. Automatic page segmentation of document images in multiple Indian languages. Identifies pictures, lines, and words in a document scanned at 300 dpi. 3. Multi-lingual annotation.
    Downloads: 1 This Week
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  • 7
    VADER

    VADER

    Lexicon and rule-based sentiment analysis tool

    VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool designed for analyzing the sentiment of text, particularly in social media and short text formats. It is optimized for quick and accurate analysis of positive, negative, and neutral sentiments.
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  • 8
    pyIRDG

    pyIRDG

    IMDb Relational Dataset Generator

    ...Three types of constraints on attributes are available to limit the output: an availability constraint, a range constraint and a value constraint. It works with both MySQL and PostgreSQL as database backend.
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  • 9

    DictionaryReader

    Research OCR Project

    DictionaryReader is a research project; the aim of which is to create software that can automatically import data from mixed-script dictionaries. (For example, a Tibetan-English dictionary.)
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    Veeam Data Platform v13.1

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  • 10
    The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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  • 11
    Interlogy - next generation knowledge storage and prezentation system. Gives wide functionality for knwoledge evaluation. Interlogy is the same as forum, wiki, chat, socialnetwork, but all together.
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  • 12

    Brexy

    AI Operating System for Capital Markets

    Brexy: The AI Platform for Capital Market Brexy is an AI platform for capital markets that brings financial research, company data, documents, models, and institutional knowledge into one secure operating system. Built for investment bankers, investors, deal teams, and financial advisors, Brexy helps teams research companies, analyze financial information, perform due diligence, build financial models, create investment materials, and move from analysis to execution faster. Instead...
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  • 13
    Reputation-Sentinel-OS-v3

    Reputation-Sentinel-OS-v3

    Autonomous n8n framework for real-time brand protection & AI analysis.

    Reputation Sentinel OS v3.0: Autonomous Brand Defense Infrastructure Sentinel OS v3.0 is a sovereign AI framework for brand protection and automated response. Built on n8n with a massive 1,500+ logic nodes architecture, it offers depth and privacy far beyond traditional SaaS. Total Data Sovereignty: Unlike expensive monthly platforms, Sentinel OS runs on your own infrastructure. You own your data and your brand's defense. Key Capabilities: Omni-Channel: 24/7 autonomous tracking...
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  • 14
    lastest

    lastest

    AI-supported visual verification and tests you can actually trust.

    Lastest.cloud is a free, open-source verification of development, self-hosted visual regression and end-to-end testing platform for web applications. An AI agent records you clicking through your running app and generates Playwright tests with multi-selector fallback. Replays are deterministic and token-free, so your CI/CD bill doesn't scale with your test suite. Lastest ships three diff engines side-by-side — pixel (pixelmatch), structural (SSIM), and perceptual (Butteraugli) — so...
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