{"data":{"full_name":"Srabontideb/Stable-Diffusion-from-Scratch-MNIST","name":"Stable-Diffusion-from-Scratch-MNIST","description":"A clean, fully commented implementation of Denoising Diffusion Probabilistic Models (DDPM) trained on MNIST. ","stars":0.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"image-generation","last_pushed_at":"2026-03-28T04:41:02+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":13.0,"adoption_score":0.0,"maturity_score":9.0,"community_score":0.0,"quality_score":22.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-10T17:59:40.526324+00:00"}}