Repository navigation
ai4science
- Website
- Wikipedia
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 80+ languages.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A trainable PyTorch reproduction of AlphaFold 3.
🚀🚀🚀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.
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
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.
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
The resources of LucaOne, including: the model code, training scripts, embedding inference code, and trained checkpoints.
A comprehesive survey about foundation models for weather and cliamte data understanding.
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
A language agent gym with challenging scientific tasks
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
IntelliFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction.
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
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.