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A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A trainable PyTorch reproduction of AlphaFold 3.
🚀🚀🚀A collection of some wesome public projects about Large Language Model(LLM), Vision Language Model(VLM), Vision Language Action(VLA), AI Generated Content(AIGC), the related Datasets and Applications.
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
A comprehesive survey about foundation models for weather and cliamte data understanding.
The resources of LucaOne, including: the model code, training scripts, embedding inference code, and trained checkpoints.
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
A general AI agent framework that can be adapted to various tasks and environments.
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.
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
List of Geometric GNNs for 3D atomic systems
A general AI agent framework that can be adapted to various tasks and environments.
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
Official code repo for the paper "LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset"