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2 dépôts

Awesome GitHub RepositoriesMultilingual Research Workflows

Capability to conduct the entire research pipeline in a user-chosen natural language instead of English.

Distinct from Research Workflows: No existing candidate covers running the entire research pipeline in a user-chosen language; closest is Research Workflows (f10_mt4) which lacks multilingual support.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Multilingual Research Workflows. Refine with filters or upvote what's useful.

Awesome Multilingual Research Workflows GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • windingwind/zotero-pdf-translateAvatar de windingwind

    windingwind/zotero-pdf-translate

    11,136Voir sur GitHub↗

    zotero-pdf-translate is a translation extension for Zotero that converts PDF text, annotations, and bibliographic metadata into target languages using external services. It functions as an academic PDF translator and a bibliographic metadata translator, enabling the conversion of research papers, EPubs, item titles, and abstracts. The tool distinguishes itself as a multi-provider translation client that allows users to connect to various language models and APIs using custom secret keys. It features a translation comparison view that renders outputs from multiple services side-by-side to eval

    Supports a comprehensive research pipeline by translating bibliographic metadata, PDF annotations, and notes.

    TypeScriptpdfplugintranslate
    Voir sur GitHub↗11,136
  • samuelschmidgall/agentlaboratoryAvatar de SamuelSchmidgall

    SamuelSchmidgall/AgentLaboratory

    5,295Voir sur GitHub↗

    AgentLaboratory is a multi-agent research system that automates the entire scientific experimentation process, from literature review through experiment execution to report generation, using a sequence of specialized AI agents. The system orchestrates a team of language-model-driven agents—a literature reviewer, experimental planner, executor, and report writer—to autonomously complete an end-to-end research workflow. The system distinguishes itself by saving progress at every checkpoint, enabling seamless recovery and continuation after interruptions or failures. Agents build on each other's

    Allows the entire research pipeline to be conducted in a user-specified natural language instead of English.

    Python
    Voir sur GitHub↗5,295
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