https://github.com/QizhiPei/BioT5
공식 코드BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Reagent prediction endeavors to ascertain the suitable catalysts, solvents, or ancillary substances required for a specific chemical reaction. This endeavor facilitates chemists in uncovering novel reaction types and mechanisms, identifying more optimal or eco-friendly reaction conditions, and ultimately streamlining the comprehensive chemical process to attain maximal cost-effectiveness and environmental stewardship.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.