Showing 2 open source projects for "machine learning"

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  • Effortlessly Manage Product Information Icon
    Effortlessly Manage Product Information

    OneTimePIM is a comprehensive Product Information Management System designed to streamline the import and distribution of product data.

    A single source of truth for all of your product information with easy ways to distribute that data to wherever it needs to go, including the most powerful e-commerce connectors in the industry.
    Learn More
  • Captain Compliance - Data Privacy and Compliance Software Icon
    Captain Compliance - Data Privacy and Compliance Software

    Privacy Compliance Software - Avoid Fines and Prevent Lawsuits

    Captain Compliance handles your data privacy requirements so you can be privacy compliant. No more compliance stress, stop stressing over regulatory risks – just privacy protection managed by experts. Our user-friendly platform backed by privacy professionals simplifies the process of navigating regulations, giving your customers transparent choices, and building essential trust for your organization.
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    MindsDB

    MindsDB

    Making Enterprise Data Intelligent and Responsive for AI

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making...
    Downloads: 4 This Week
    Last Update:
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  • 2
    Colab-MCP

    Colab-MCP

    An MCP server for interacting with Google Colab

    ...Instead of relying on manual notebook usage, the system allows MCP-compatible agents to execute code, manage files, install dependencies, and orchestrate entire development workflows within Colab’s cloud infrastructure. This approach bridges the gap between local AI agents and remote high-performance compute environments, allowing users to offload heavy workloads such as machine learning training, data analysis, and dependency-heavy tasks to Colab’s GPU and TPU resources. By exposing Colab as an MCP server, the tool enables seamless integration with a wide range of AI assistants and agent frameworks, creating a standardized interface for tool use and execution.
    Downloads: 0 This Week
    Last Update:
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