Showing 4 open source projects for "journal publication system"

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  • 1
    GPT-SoVITS

    GPT-SoVITS

    1 min voice data can also be used to train a good TTS model

    GPT‑SoVITS is a state-of-the-art voice conversion and TTS system that enables zero‑shot and few‑shot synthesis based on a short vocal sample (e.g., 5 seconds). It supports cross‑lingual speech synthesis across English, Chinese, Japanese, Korean, Cantonese, and more. It's powered by VITS architecture enhanced for few‑sample adaptation and real‑time usability.
    Downloads: 62 This Week
    Last Update:
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  • 2
    PaperBanana

    PaperBanana

    Extension of Google Research’s PaperBanana

    PaperBanana is an open-source agentic framework designed to automatically generate publication-quality academic diagrams and statistical plots directly from text descriptions. The project focuses on helping researchers, educators, and data scientists transform conceptual descriptions of figures into structured visual outputs suitable for research papers, presentations, and technical reports. Instead of manually designing charts or diagrams using traditional visualization tools, users can describe the desired figure in natural language and allow the system to generate the visual representation automatically. ...
    Downloads: 1 This Week
    Last Update:
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  • 3
    AutoResearchClaw

    AutoResearchClaw

    Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞

    AutoResearchClaw is an open-source framework designed to automatically generate full academic research papers from a single idea or topic. Built in Python, it orchestrates a multi-stage research pipeline that gathers literature, formulates hypotheses, runs experiments, analyzes results, and writes the final paper. The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations. It can automatically generate code for experiments, run...
    Downloads: 12 This Week
    Last Update:
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  • 4
    Desloppify

    Desloppify

    Agent harness to make your slop code well-engineered and beautiful

    Desloppify is a utility-focused project aimed at improving the quality, structure, and clarity of generated or written text by removing redundancy, noise, and unnecessary verbosity. It is designed to “clean up” outputs, particularly those produced by AI systems, making them more concise, readable, and professional. The system likely applies heuristics or transformation rules to identify repetitive patterns, filler content, and stylistic inconsistencies. This makes it especially useful in workflows where AI-generated text needs to be refined before publication or use in production. It may also support integration into pipelines, allowing automatic post-processing of outputs. ...
    Downloads: 2 This Week
    Last Update:
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