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⇱ A Python library for visualizing neural networks | Glama

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A Python library for visualizing neural networks

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  • Why this server?

    While not directly related to neural networks, this server allows management of repository files/branches, potentially useful for storing or accessing code related to neural network plotting tools.

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    MCP Tool Server for Gitee, supporting the management of repository files/branches, Issues, and Pull Requests.
    Last updated
    20
    43
    7
    MIT

  • Why this server?

    Enables comprehensive GitHub operations through natural language including file management and advanced code searching, useful for finding neural network plotting related code or resources.

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    Enables comprehensive GitHub operations through natural language including file management, repository administration, issue tracking, and advanced code searching.
    Last updated
    47
    6
    1
    MIT

  • Why this server?

    A modular server that provides tools for interacting with GitHub and web automation, potentially useful for finding code snippets related to neural network plotting and automating documentation retrieval.

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    A modular server that implements the Model Context Protocol standard, providing tools for interacting with GitHub, GitLab, Google Maps, Memory storage, and web automation through a unified gateway.
    Last updated
    221
    3
    Apache 2.0

  • Why this server?

    Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices, which could include libraries useful for visualizing neural networks.

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    Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.
    Last updated
    965
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    MIT

  • Why this server?

    Provides tools for collecting and documenting code from directories, potentially useful for organizing and documenting code related to neural network plotting.

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    Provides tools for collecting and documenting code from directories.
    Last updated
    4
    63
    15
    MIT

  • Why this server?

    Provides intelligent summarization capabilities, which could be useful for summarizing documentation or code related to neural network plotting.

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    Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
    Last updated
    16
    37
    MIT

  • Why this server?

    Control AI agents creation and modification via MCP. Can be useful to have an agent specialized in finding or generating the code for the user.

  • Why this server?

    MCP for working with GraphQL servers. Could be useful if the user wanted to query some kind of graph database for neural network architectures or node arrangements for visualization purposes.

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    MCP for working with GraphQL servers.
    Last updated
    2
    1,605
    392
    MIT

  • Why this server?

    Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis, potentially useful for scraping information about neural network plotting.

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    maintenance
    Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.
    Last updated
    1
    37
    31
    MIT