ai4science
There are 133 repositories under ai4science topic.
Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Protenix
A trainable PyTorch reproduction of AlphaFold 3.
awesome-llm-and-aigc
🚀🚀🚀A collection of some awesome public projects about Large Language Model(LLM), Vision Language Model(VLM), Vision Language Action(VLA), AI Generated Content(AIGC), the related Datasets and Applications.
Awesome-Scientific-Language-Models
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
terratorch
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
best-of-atomistic-machine-learning
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
mattersim
MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
PaddleScience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
GraphGen
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
LucaOne
The resources of LucaOne, including: the model code, training scripts, embedding inference code, and trained checkpoints.
Awesome-Foundation-Models-for-Weather-and-Climate
A comprehesive survey about foundation models for weather and cliamte data understanding.
aviary
A language agent gym with challenging scientific tasks
k2
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
LLM-SR
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
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.