ai-science-diffusion-generative-models

SKILLFlusso di lavorocommunity
v0.0.0Pavel-KravchenkoUnknownAggiornato 1 mesi faFonte →

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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1 mesi faUltimo aggiornamento
Skill
AutorePavel-Kravchenko
Versione0.0.0
LicenzaUnknown
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
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Descrizione

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.

Parole chiave
skillclaude