Showing 6 open source projects for "python neural network"

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  • 1
    DocsGPT

    DocsGPT

    Private AI platform for agents, enterprise search and RAG pipelines

    DocsGPT is an open-source AI platform for deploying private RAG pipelines, AI agents, and enterprise search on your own infrastructure. Connect any data source (PDFs, DOCX, CSV, Excel, HTML, audio, GitHub, databases, URLs) and get accurate, hallucination-free answers with source citations. Choose your LLM: OpenAI, Anthropic, Google Gemini, or local models. Works with Qdrant, MongoDB, and Elasticsearch and more. Deploy via Docker or Kubernetes with full data sovereignty. Build...
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  • 2
    Awesome Graph Classification

    Awesome Graph Classification

    Graph embedding, classification and representation learning papers

    A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
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  • 3
    EurekA is a knowldege base system primarily developed in python with MySQL as the database, SQLObject module as the DB API and CherryPy+Genshi as the frontend. The main aim of this project is to provide a dynamic Knowldege Base system that caters to the
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  • 4
    Goal of oraschemadoc is to provide detailed documentation for all objects in schema covering Oracle specific features. Result of execution of oraschemadoc is set of static xhtml files. There are more features under development...
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  • 5
    The Django-driven web-based book-authoring content-management-system (ddwbbacms) is a program that allows authors to work on their books, articles, or topics without having to have their hard drives nearby. Access to the web is all that is required.
    Downloads: 0 This Week
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  • 6
    Gathering requirements should be fun. It's the brainstorming process refined. It shouldn't get in the way of productivity or creativity. Harvest is about gathering requirements in the most intuitive, least intrusive way possible.
    Downloads: 0 This Week
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