{"data":{"full_name":"cakshat/AlloyBERT","name":"AlloyBERT","description":"Introducing AlloyBERT: a transformer encoder-based model for predicting alloy properties from textual inputs. Leveraging RoBERTa and self-attention mechanisms, it achieves superior performance, surpassing shallow models.","stars":12.0,"forks":4.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"bert-model-implementations","last_pushed_at":"2024-08-05T00:46:54+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":15.0,"quality_score":36.0,"quality_tier":"emerging","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-10T06:39:03.384465+00:00"}}