{"data":{"full_name":"AlaaSedeeq/Convolutional-GAIN","name":"Convolutional-GAIN","description":"An implementation to Convolutional generative adversarial imputation networks for spatio-temporal missing data Nets Paper (Conv-GAIN)","stars":11.0,"forks":1.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"gan-image-generation","last_pushed_at":"2022-06-10T20:53:02+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":0.0,"adoption_score":5.0,"maturity_score":16.0,"community_score":7.0,"quality_score":28.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T10:17:54.342928+00:00"}}