Showing 3 open source projects for "diffusion"

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    tinygrad

    tinygrad

    Deep learning framework

    This may not be the best deep learning framework, but it is a deep learning framework. Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC.
    Downloads: 0 This Week
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  • 2
    StabilityMatrix

    StabilityMatrix

    Multi-Platform Package Manager for Stable Diffusion

    StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity,...
    Downloads: 41 This Week
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  • 3
    EAT Pure Data
    EAT is a new set of accessible abstractions for composition and diffusion that are currently under development in Pure Data Extended.
    Downloads: 1 This Week
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