AI4Science-WestlakeU / research_toolboxLinks
A useful toolbox for research.
☆16Updated last year
Alternatives and similar repositories for research_toolbox
Users that are interested in research_toolbox are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency☆26Updated last month
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆43Updated last week
- ☆22Updated last year
- ICON for in-context operator learning☆59Updated 7 months ago
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆76Updated 6 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆63Updated last year
- Code for orthogonal neural operator☆16Updated 2 years ago
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆36Updated 2 weeks ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 10 months ago
- ☆48Updated 6 months ago
- Implementation of Physics-Informed Diffusion Models (ICLR 2025)☆142Updated 7 months ago
- [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling☆23Updated 3 months ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆47Updated last month
- This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better ene…☆26Updated 7 months ago
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆20Updated 5 months ago
- A lecture note for understanding deep learning☆375Updated this week
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆59Updated last month
- [ICLR 2024] Official implementation for the paper "Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks…☆15Updated last month
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆75Updated 6 months ago
- A Library for Advanced Neural PDE Solvers.☆204Updated this week
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆19Updated last year
- ☆12Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- A curated list of PhD, RA, and Intern openings in Computer Science (CS), Electrical & Computer Engineering (ECE), and Artificial Intellig…☆18Updated last month
- Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence☆51Updated 6 months ago
- [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training☆39Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆217Updated 2 months ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆149Updated 5 months ago