Showing 5 open source projects for "libusb-1.0"

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  • 1
    HunyuanWorld 1.0

    HunyuanWorld 1.0

    Generating Immersive, Explorable, and Interactive 3D Worlds

    HunyuanWorld-1.0 is an open-source, simulation-capable 3D world generation model developed by Tencent Hunyuan that creates immersive, explorable, and interactive 3D environments from text or image inputs. It combines the strengths of video-based diversity and 3D-based geometric consistency through a novel framework using panoramic world proxies and semantically layered 3D mesh representations.
    Downloads: 2 This Week
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  • 2
    HY-Motion 1.0

    HY-Motion 1.0

    HY-Motion model for 3D character animation generation

    HY-Motion 1.0 is an open-source, large-scale AI model suite developed by Tencent’s Hunyuan team that generates high-quality 3D human motion from simple text prompts, enabling the automatic production of fluid, diverse, and semantically accurate animations without manual keyframing or rigging. Built on advanced deep learning architectures that combine Diffusion Transformer (DiT) and flow matching techniques, HY-Motion scales these approaches to the billion-parameter level, resulting in strong instruction-following capabilities and richer motion outputs compared to existing open-source models. ...
    Downloads: 1 This Week
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  • 3
    Open Infra Index

    Open Infra Index

    Production-tested AI infrastructure tools

    ...The timing of its opening matches DeepSeek’s “Open-Source Week” campaign (starting around February 2025) when they gradually released internal infrastructure components publicly. It is licensed under CC0-1.0 (Creative Commons Zero) to maximize openness.
    Downloads: 0 This Week
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  • 4
    NoobAI XL 1.1

    NoobAI XL 1.1

    Open, non-commercial SDXL model for quality image generation

    ...NoobAI XL 1.1 prioritizes safe and ethical content generation, prohibiting NSFW and harmful outputs under the Fair-AI Public License 1.0-SD, which also forbids commercial use. The model encourages open-source collaboration, requiring derivative models and LoRAs to be shared under the same terms. Sponsored by Lanyun Cloud, it represents a community-driven effort to democratize advanced, high-quality visual generation.
    Downloads: 0 This Week
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  • 5
    layoutlm-base-uncased

    layoutlm-base-uncased

    Multimodal Transformer for document image understanding and layout

    layoutlm-base-uncased is a multimodal transformer model developed by Microsoft for document image understanding tasks. It incorporates both text and layout (position) features to effectively process structured documents like forms, invoices, and receipts. This base version has 113 million parameters and is pre-trained on 11 million documents from the IIT-CDIP dataset. LayoutLM enables better performance in tasks where the spatial arrangement of text plays a crucial role. The model uses a...
    Downloads: 0 This Week
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