☆35Jan 29, 2021Updated 5 years ago
Alternatives and similar repositories for graphpdes_experiments
Users that are interested in graphpdes_experiments are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Jan 29, 2021Updated 5 years ago
- Differentiable Physics-informed Graph Networks☆67Feb 20, 2020Updated 6 years ago
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Jul 25, 2022Updated 3 years ago
- Public Datasets and Codes for Data-driven discovery of soil moisture flow governing equation: A sparse regression framework. Water Resour…☆11Feb 24, 2025Updated last year
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆26Aug 12, 2022Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated 2 years ago
- ☆14Aug 22, 2024Updated last year
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Jan 13, 2021Updated 5 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆28Nov 14, 2025Updated 8 months ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆30Jan 30, 2024Updated 2 years ago
- ☆174Jun 27, 2022Updated 4 years ago
- Using graph network to solve PDEs☆451Jun 2, 2025Updated last year
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆39Jun 21, 2023Updated 3 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆36Apr 15, 2023Updated 3 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- ☆19Apr 5, 2024Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆37Dec 18, 2021Updated 4 years ago
- ☆12Sep 27, 2020Updated 5 years ago
- ☆221Feb 16, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆17Jul 2, 2026Updated 3 weeks ago
- Contact-Aware Symplectic Integrator Network☆18Mar 22, 2023Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆99Aug 17, 2023Updated 2 years ago
- Graph Neural PDEs☆340Oct 20, 2022Updated 3 years ago
- Laminar flow prediction using graph neural networks☆32Jan 17, 2025Updated last year
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆18Feb 26, 2024Updated 2 years ago
- ☆14May 28, 2021Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- Physics-informed radial basis network☆42May 20, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆58Jun 10, 2024Updated 2 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Dec 21, 2021Updated 4 years ago
- Resources for UPT tutorials☆17Apr 7, 2025Updated last year
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 6 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆249Oct 21, 2024Updated last year
- ☆52Nov 6, 2023Updated 2 years ago