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#

ai-for-science

Here are 63 public repositories matching this topic...

A curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery — from physics and chemistry to biology, materials, and beyond.

  • UpdatedNov 30, 2025

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

  • UpdatedDec 3, 2025
  • MATLAB

A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

  • UpdatedJun 23, 2025

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

  • UpdatedJan 10, 2024
  • Python

❓Curie: Automated and Rigorous Scientific Experimentation with AI Agents

  • UpdatedSep 28, 2025
  • Python

Automated Hypothesis Testing with Agentic Sequential Falsifications

  • UpdatedMay 14, 2025
  • Python

[updating] Chinese Medical Dataset 致力于详细整理所有现有中文医学数据集,包括详细的数据汇总、数据示例、下载链接等。

  • UpdatedAug 6, 2024

[NeurIPS'24] Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

  • UpdatedFeb 4, 2025
  • Python

[Briefings In Bioinformatics] DrugAssist: A Large Language Model for Molecule Optimization

  • UpdatedApr 2, 2025
  • Python

Learning the language of protein-protein interactions

  • UpdatedSep 22, 2025
  • Python

AI for Science

  • UpdatedApr 11, 2024
  • Python

Generative Pre-trained Graph Eulerian Transformer [ICML2025]

  • UpdatedNov 21, 2025
  • Python

Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

  • UpdatedDec 16, 2025
  • Python

PaddleMaterials is a data-mechanism dual-driven, foundation model development and deployment, end to end toolkit based on PaddlePaddle deep learning framework for materials science and engineering.

  • UpdatedDec 16, 2025
  • Python

[ICML 2025] HypotheSAEs: Hypothesizing interpretable relationships in text datasets using sparse autoencoders.https://arxiv.org/abs/2502.04382

  • UpdatedOct 29, 2025
  • Jupyter Notebook
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