Alternatives and similar repositories for InstructMol:

Users that are interested in InstructMol are comparing it to the libraries listed below

• lsh0520 / 3D-MoLM
  ☆43Updated 11 months ago
• zhao-ht / GIMLET
  The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
  ☆61Updated last year
• ChnQ / LLM4Mol
  Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"
  ☆38Updated last year
• ddz16 / MoMu
  The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".
  ☆27Updated last year
• yangzhao1230 / GraphTextRetrieval
  Part of official implementation of "Natural language-informed learning of molecule graphs"
  ☆18Updated last year
• syr-cn / ReLM
  [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.
  ☆20Updated last year
• QizhiPei / BioT5
  BioT5 (EMNLP 2023) and BioT5+ (ACL 2024 Findings)
  ☆111Updated 7 months ago
• ChemFoundationModels / ChemLLMBench
  What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
  ☆142Updated 8 months ago
• phenixace / MolReGPT
  ☆50Updated 10 months ago
• HICAI-ZJU / iMoLD
  Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
  ☆21Updated last year
• BingSu12 / MoMu
  ☆22Updated 2 years ago
• liugangcode / Llamole
  Llamole: Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
  ☆21Updated 6 months ago
• NYUSHCS / MolecularGPT
  ☆30Updated 9 months ago
• AI-HPC-Research-Team / GIT-Mol
  A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
  ☆30Updated 11 months ago
• CRIPAC-DIG / tgm-dlm
  Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model
  ☆24Updated 8 months ago
• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆36Updated last year
• Rich-XGK / GTMGC
  Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).
  ☆16Updated last year
• YangLing0818 / IRDiff
  [ICML 2024] Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
  ☆23Updated 7 months ago
• yangnianzu0515 / MoleOOD
  Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…
  ☆61Updated 2 years ago
• cnedwards / text2mol
  Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries
  ☆44Updated 3 weeks ago
• bytedance / DecompDiff
  The official implementation of DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design (ICML 2023)
  ☆60Updated last year
• microsoft / DVMP
  The official implementation of dual-view molecule pre-training.
  ☆41Updated 3 years ago
• syr-cn / ReactXT
  [ACL 2024] ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining. by Zhiyuan Liu*, Yaoru…
  ☆18Updated 7 months ago
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆32Updated last year
• chao1224 / ProteinDT
  A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)
  ☆75Updated 3 months ago
• shehzaidi / pre-training-via-denoising
  Official implementation of pre-training via denoising for TorchMD-NET
  ☆90Updated 2 years ago
• MinkaiXu / AliDiff
  NeurIPS24: Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
  ☆28Updated 2 weeks ago
• mlvlab / LLaMo
  Official Implementation (Pytorch) of the "LLaMo: Large Language Model-based Molecular Graph Assistant", NeurIPS 2024
  ☆29Updated 2 months ago
• SongtaoLiu0823 / FusionRetro
  [ICML 2023] FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
  ☆21Updated 5 months ago
• Data-reindeer / MolScaling
  Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
  ☆14Updated last year