Multimodal-Symbolic-Regression

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Physical Symbolic Optimization

A trainable PyTorch reproduction of AlphaFold 3.

Distributed High-Performance Symbolic Regression in Julia

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)

MatterSim: A deep learning atomistic model across elements, temperatures and pressures.

MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts

Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024

AI for Mathematics (AI4Math) paper list

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks