https://github.com/EvanZhuang/vector-icl
공식 코드Vector-ICL: In-context Learning with Continuous Vector Representations
Papers with Code 아카이브
Molecule Captioning
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Molecular description generation entails the creation of a detailed textual depiction illuminating the structure, properties, biological activity, and applications of a molecule based on its molecular descriptors. It furnishes chemists and biologists with a swift conduit to essential molecular information, thus efficiently guiding their research and experiments.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/QizhiPei/BioT5
공식 코드https://github.com/SCIR-HI/ArtificiallyR2R
공식 코드https://github.com/acharkq/molca
공식 코드MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
https://github.com/ai-hpc-research-team/git-mol
공식 코드GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
https://github.com/bingsu12/momu
공식 코드A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
https://github.com/biofm/openbiomed
공식 코드https://github.com/blender-nlp/MolT5
공식 코드https://github.com/chenlong164/peit
공식 코드Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models
https://github.com/gt4sd/multitask_text_and_chemistry_t5
공식 코드Unifying Molecular and Textual Representations via Multi-task Language Modelling
https://github.com/idea-xl/instructmol
공식 코드https://github.com/lsh0520/3d-molm
공식 코드https://github.com/phenixace/molregpt
공식 코드https://github.com/qizhipei/3d-molt5
공식 코드3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
https://github.com/syr-cn/reactxt
공식 코드https://github.com/xiaocui3737/geomclip
공식 코드GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules
https://github.com/yikunpku/atomas
공식 코드Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation
https://github.com/zaixizhang/MGSSL
공식 코드https://huggingface.co/zequnl/molxpt
공식 코드MolXPT: Wrapping Molecules with Text for Generative Pre-training
https://github.com/ai-hpc-research-team/slm4mol
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
https://github.com/cbbl-skku-org/XMolCap
https://github.com/nhattruongpham/mol-lang-bridge
https://github.com/pharmolix/openbiomed
https://github.com/yangzhao1230/graphtextretrieval
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
https://github.com/zhiqiangzhongddu/la3
Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.