{"data":{"full_name":"LookUpMark/dylem-grid","name":"dylem-grid","description":"DYLEM-GRID is a deep learning project for dynamic hand gesture recognition using a Bidirectional LSTM network with Attention mechanism. The repository implements a model trained on the DYLEM-GRID dataset (Dynamic Leap Motion Gesture Recognition Indexed Dataset), which contains 400 recordings of four distinct dynamic hand gestures.","stars":1.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"3d-vision-transformers","last_pushed_at":"2026-01-11T19:18:50+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":10.0,"adoption_score":1.0,"maturity_score":9.0,"community_score":0.0,"quality_score":20.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-11T13:36:35.651192+00:00"}}