{"data":{"full_name":"BICLab/MetaLA","name":"MetaLA","description":"Offical implementation of \"MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map\" (NeurIPS2024 Oral)","stars":35.0,"forks":2.0,"language":"Python","license":null,"archived":0.0,"subcategory":"sparse-attention-optimization","last_pushed_at":"2025-01-18T04:07:28+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":7.0,"maturity_score":8.0,"community_score":6.0,"quality_score":21.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T17:08:25.377516+00:00"}}