Showing 11 open source projects for "machine"

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  • 1
    Sublayer

    Sublayer

    A model-agnostic Ruby Generative AI DSL and framework

    Sublayer is a platform that enables developers to build and deploy machine learning models with ease, focusing on simplifying the ML lifecycle from development to production.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Semantic Router

    Semantic Router

    Superfast AI decision making and processing of multi-modal data

    Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow, unreliable LLM generations to make tool-use or safety decisions, we use the magic of semantic vector space — routing our requests using semantic meaning. Combining LLMs with deterministic rules means we can be confident that our AI systems behave as intended. Cramming agent tools into the limited context window is expensive, slow, and fundamentally limited. Semantic Router enables...
    Downloads: 2 This Week
    Last Update:
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  • 3
    TrustGraph

    TrustGraph

    Deploy reasoning AI agents powered by agentic graph RAG in minutes

    TrustGraph is an AI-driven framework designed to assess and visualize trust relationships within networks, aiding in the analysis of trustworthiness and influence among entities.
    Downloads: 2 This Week
    Last Update:
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  • 4
    Dendrite

    Dendrite

    Tools to build web AI agents that can authenticate

    Dendrite Python SDK is a toolkit for building web AI agents that can authenticate, interact with, and extract data from any website, facilitating web automation tasks.
    Downloads: 1 This Week
    Last Update:
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  • 5
    Director

    Director

    AI video agents framework for next-gen video interactions

    Director is a video database management system designed to organize, search, and retrieve large collections of video content efficiently.
    Downloads: 0 This Week
    Last Update:
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  • 6
    JAI Workflow

    JAI Workflow

    Build programmatically custom agentic workflows, AI Agents, RAG system

    JAI-Workflow is a framework for building and managing machine learning workflows, streamlining the process from data ingestion to model deployment.
    Downloads: 0 This Week
    Last Update:
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  • 7
    Potpie

    Potpie

    Create custom engineering agents for your codebase

    Potpie is an AI-powered data analysis tool that automates the exploration and visualization of datasets, assisting users in uncovering insights without extensive coding.
    Downloads: 0 This Week
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  • 8
    Sophia

    Sophia

    TypeScript AI platform with AI chat, Autonomous agents

    Sophia is an AI-based fraud detection framework designed to identify and mitigate fraudulent activities in digital transactions and advertising.
    Downloads: 0 This Week
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  • 9
    Agentic Commerce Protocol (ACP)

    Agentic Commerce Protocol (ACP)

    Interaction model for connecting buyers to complete purchases

    ...It’s maintained by OpenAI and Stripe and licensed under Apache-2.0, with the goal of being easy to adopt alongside a merchant’s existing commerce stack rather than replacing it. The repository organizes the spec as human-readable RFCs plus machine-readable OpenAPI and JSON Schema definitions, along with worked examples and a changelog so integrators can track breaking changes. Practically, ACP defines three main pieces; a Product Feed for discovery, an Agentic Checkout API for stateful, in-conversation checkout, and a Delegated Payment flow so a merchant’s existing PSP securely handles payment credentials and settlement. ...
    Downloads: 4 This Week
    Last Update:
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  • 10
    airda

    airda

    airda(Air Data Agent

    airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes.
    Downloads: 0 This Week
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  • 11
    Adala

    Adala

    Adala: Autonomous DAta (Labeling) Agent framework

    Adala is a data-centric AI framework focused on dataset curation, annotation, and validation. It helps AI teams manage high-quality training datasets by providing tools for data auditing, error detection, and quality assessment.
    Downloads: 0 This Week
    Last Update:
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