3 projects for "aspect" with 2 filters applied:

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  • 1
    DeepGEMM

    DeepGEMM

    Clean and efficient FP8 GEMM kernels with fine-grained scaling

    ...It supports both standard and “grouped” GEMMs, which is useful for architectures like Mixture of Experts (MoE) that require segmented matrix multiplications. One distinguishing aspect is that DeepGEMM compiles its kernels at runtime (via a lightweight Just-In-Time (JIT) module), so users don’t need to precompile CUDA kernels before installation. Despite its lean design, it includes scaling strategies (fine-grained scaling) and optimizations inspired by cutting edge systems (drawing from ideas in CUTLASS, CuTe) but in a more streamlined form.
    Downloads: 107 This Week
    Last Update:
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  • 2
    NoobAI XL 1.1

    NoobAI XL 1.1

    Open, non-commercial SDXL model for quality image generation

    ...The model introduces refined quality tagging, ranking images by percentile to ensure results reflect modern aesthetic preferences. It supports a range of recommended resolutions around 1024×1024, maintaining high consistency across varied aspect ratios. 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
    Last Update:
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  • 3
    unidepth-v2-vitl14

    unidepth-v2-vitl14

    Metric monocular depth estimation (vision model)

    Estimates absolute (metric) depth from single RGB images, along with camera intrinsics and uncertainty. Designed to generalize across domains (zero-shot) using a self‑prompting camera module and pseudo-spherical prediction space.
    Downloads: 0 This Week
    Last Update:
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