Showing 4 open source projects for "support vector machine"

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  • 1
    Coinbase Agentic Wallet Skills

    Coinbase Agentic Wallet Skills

    npx skills add coinbase/agentic-wallet-skills

    Coinbase Agentic Wallet Skills project is a modular skill library developed by Coinbase as part of its Agentic Wallet ecosystem, designed to give AI agents direct access to on-chain financial operations through a standardized and reusable interface. It provides a set of pre-built “skills” that abstract complex blockchain interactions into simple, callable capabilities, allowing agents to authenticate, manage funds, and execute transactions without requiring developers to implement low-level...
    Downloads: 0 This Week
    Last Update:
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  • 2
    Violin

    Violin

    Open-source Video Translation Skill

    Violin is an open-source video translation and dubbing tool that turns existing videos into localized versions with translated voice-over and optional subtitles. It transcribes the original speech, translates the text, generates natural-sounding speech in the target language, and remuxes the new audio back into the video. The project is designed to keep the generated speech aligned with the original timing so the final result feels closer to a real dubbed video. It can be used from the...
    Downloads: 2 This Week
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  • 3
    AgentHandover

    AgentHandover

    AgentHandover observes, learns and teaches agents with skills

    AgentHandover is a Mac-focused system that observes how a user works and converts repeated workflows into reusable, self-improving skills for AI agents. It is designed for tools such as Claude Code, OpenClaw, Codex, Hermes, Cursor, Windsurf, and other MCP-compatible environments. Instead of asking users to manually write long prompts or static automation instructions, it records real actions, infers decision logic, and produces skills that include steps, strategy, guardrails, selection...
    Downloads: 0 This Week
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  • 4
    anti-distill

    anti-distill

    Anti-distillation for employee Skills

    anti-distill is a research-oriented project focused on protecting machine learning models from knowledge distillation attacks, where smaller models attempt to replicate the behavior of larger proprietary systems. The project explores techniques that make it harder for external models to learn from outputs, thereby preserving intellectual property and model uniqueness. It likely introduces methods such as output perturbation, watermarking, or response shaping to prevent accurate imitation....
    Downloads: 0 This Week
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