ai4science
There are 133 repositories under ai4science topic.
ChemLLMBench
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
IntelliFold
IntelliFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction.
Geom3D
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Awesome-Colorful-LLM
Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, Fundamental Sciences such as Mathematics, and Ominous.
geometric-gnns
List of Geometric GNNs for 3D atomic systems
Aeiva
A general AI agent framework that can be adapted to various tasks and environments.
ScienceAgentBench
[ICLR'25] ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
LLM4Chem
Official code repo for the paper "LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset"
ProteinDT
A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)
llamp
A web app and Python API for multi-modal RAG framework to ground LLMs on high-fidelity materials informatics. An agentic materials scientist powered by @materialsproject, @langchain-ai, and @openai
ReQFlow
[ICML 2025] 🧬 ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
PXDesignBench
A Unified Evaluation Suite for Protein Design
GARF
[ICCV2025] GARF: Learning Generalizable 3D Reassembly for Real-World Fractures
TPSR
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
llm-srbench
[ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
awesome-agents4science
A curated list of papers on LLMs and agents for scientific research and development
MolDiff
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
TaxDiff
The official code for "TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation"
DeepZero
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
Graph-Aware-Transformers
Graph-Aware Attention for Adaptive Dynamics in Transformers
GMN
[ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
awesome-epidemic-modeling-papers
[KDD 2024] Papers about deep learning in epidemic modeling.
NLP4SciencePapers
Must-read papers on NLP for science.
Multimodal-Math-Pretraining
[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"
ImageMol
ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.
ChatCell
ChatCell: Facilitating Single-Cell Analysis with Natural Language
TBSI-Sunwoda-Battery-Dataset
Sunwoda Electronic Co., Ltd, and Tsinghua Berkeley Shenzhen Institute (TBSI) generate the TBSI Sunwoda Battery Dataset. We open-source this dataset to inspire more data-driven novel material verification, battery management research and applications.
CASSIA
CASSIA: A multiagent llm based single cell Annottaion framework
awesome-ai-bioinformatics
A curated list of awesome AI and Bioinformatics.
ECDFormer
【Nature Computational Science 2025🔥】Deep peak property learning for efficient chiral molecules ECD spectra prediction
odmd
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
LucaVirus
LucaVirus: Modeling the Evolutionary and Functional Landscape of Viruses with a Unified Genome-Protein Language Model
ChemMCP
A Chemistry Toolkit that turns your AI assistant into a Chemistry coscientist..
ChemFlow
Uncover meaningful structures of latent spaces learned by generative models with flows!
multimolecule
Accelerate Molecular Biology Research with Machine Learning
Impact4Cast
Forecasting high-impact research topics via machine learning on evolving knowledge graphs