{"data":{"full_name":"HilaManor/CycleTransformer","name":"CycleTransformer","description":"Final assignment in the NLP course at the Technion (IEM097215). In this assignment we propose a novel architecture to handle both Text-to-Image translation and Image-to-Text translation tasks on paired data, using a unified architecture of transformers and CNNs and enforcing cycle consistency.","stars":2.0,"forks":0.0,"language":"Python","license":null,"archived":0.0,"subcategory":"vision-transformer-implementations","last_pushed_at":"2022-03-15T16:44:35+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":2.0,"maturity_score":8.0,"community_score":0.0,"quality_score":10.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-16T00:27:44.177373+00:00"}}