ai-science-diffusion-generative-models

SKILLWorkflowcommunity
v0.0.0Pavel-KravchenkoUnknownUpdated 1mo agoSource →

Code DDPM/DDIM diffusion samplers, linear/cosine noise schedules, and DDRM inverse-problem solving (denoising, inpainting, super-resolution) in NumPy/PyTorch. Use for forward/reverse diffusion, score matching, or DDIM sampling.

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1mo agoLast update
Skill
AuthorPavel-Kravchenko
Version0.0.0
LicenseUnknown
CategoryWorkflow
Formatsskill.md
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About

Code DDPM/DDIM diffusion samplers, linear/cosine noise schedules, and DDRM inverse-problem solving (denoising, inpainting, super-resolution) in NumPy/PyTorch. Use for forward/reverse diffusion, score matching, or DDIM sampling.

Keywords
skillclaude