NYUSHCS / MolecularGPTLinks
☆38Updated last year
Alternatives and similar repositories for MolecularGPT
Users that are interested in MolecularGPT are comparing it to the libraries listed below
Sorting:
- ☆52Updated last year
- Llamole: Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning☆37Updated last year
- A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text☆36Updated 2 months ago
- Official Code Repository for the paper "Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model"☆29Updated 3 months ago
- Molecular Hypergraph Neural Network☆43Updated 6 months ago
- Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model☆21Updated 6 months ago
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆101Updated 7 months ago
- [ICML 2024] Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation☆34Updated last year
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆128Updated 2 years ago
- [COLING 2025]A curated paper list about LLMs for chemistry☆129Updated last week
- The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".☆29Updated 2 years ago
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆71Updated last year
- The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".☆50Updated last year
- ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.☆56Updated 10 months ago
- Working collection of papers, repos and models of transformer based language models trained or tuned for the Chemical domain, from natura…☆70Updated 2 years ago
- A curated list of papers related to molecular diffusion models.☆80Updated 7 months ago
- Code for InstructBioMol, implementing the Nature Machine Intelligence paper "Advancing Biomolecular Understanding and Design Following Hu…☆28Updated 5 months ago
- ☆52Updated last year
- A comprehensive repository dedicated to the collection and exploration of studies utilizing Large Language Models for molecular design, p…☆45Updated 2 years ago
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆136Updated last year
- Official repository for MolCRAFT series☆136Updated 2 months ago
- GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1…☆47Updated 2 years ago
- Multimodal Pretraining for Unsupervised Protein Representation Learning☆22Updated last year
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆121Updated last year
- Geometry Deep Learning for Drug Discovery and Life Science☆72Updated last year
- This is the code of paper "De Novo Molecular Generation via Connection-aware Motif Mining". Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu…☆57Updated last year
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆44Updated 2 years ago
- Triplet Graph Transformer☆50Updated 4 months ago
- [Briefings in Bioinformatics] A Survey of Generative AI for de novo Drug Design☆95Updated last year
- Code for generation and benchmarks of the Multimodal Spectroscopic Dataset☆52Updated 6 months ago