Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differential Equations (PDEs).
☆110Apr 10, 2025Updated last year
Alternatives and similar repositories for Awesome-AI4PDE
Users that are interested in Awesome-AI4PDE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆19Sep 7, 2024Updated last year
- ☆14Dec 9, 2024Updated last year
- ☆1,109Updated this week
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated last year
- ☆41Dec 15, 2024Updated last year
- 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.
- Implementation of the deep operator network in pytorch, with examples of solving Differential Equations☆17Mar 30, 2024Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 9 months ago
- ☆24Sep 1, 2025Updated 10 months ago
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆25Apr 1, 2026Updated 3 months ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆22May 5, 2024Updated 2 years ago
- ☆214Oct 20, 2024Updated last year
- A GNN-based PDE solver without pre-computed data☆41Jun 11, 2025Updated last year
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆433Feb 11, 2026Updated 4 months ago
- [KDD 2025] Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries☆24Feb 17, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆62Mar 8, 2026Updated 3 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆35Dec 4, 2023Updated 2 years ago
- Metappearance: Meta-Learning for Visual Appearance Reproduction☆22Sep 19, 2022Updated 3 years ago
- ☆17Dec 6, 2024Updated last year
- ☆115Apr 3, 2025Updated last year
- ☆103Feb 12, 2023Updated 3 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆25Jul 3, 2023Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆54May 31, 2023Updated 3 years ago
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆38Dec 29, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is the code of my master thesis.☆216Feb 7, 2026Updated 4 months ago
- Source code for paper "Physics-aligned field reconstruction with diffusionn bridge"☆14Feb 12, 2025Updated last year
- An object-oriented MATLAB toolbox for the approximation of functions and tensors☆12Aug 25, 2025Updated 10 months ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆34Jun 2, 2023Updated 3 years ago
- A Library for Advanced Neural PDE Solvers.☆322Mar 10, 2026Updated 3 months ago
- ☆10Feb 22, 2023Updated 3 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆106Oct 24, 2022Updated 3 years ago
- Repository for some of the experiments presented in the paper "Deep Learning Alternatives of the Kolmogorov Superposition Theorem", Spotl…☆22Mar 28, 2025Updated last year
- ☆218Feb 16, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆14Jul 30, 2024Updated last year
- An open project initiated by the DeepModeling community focused on constructing intelligent agents for scientific research. It is committ…☆38Jul 24, 2025Updated 11 months ago
- ☆423Dec 3, 2022Updated 3 years ago
- [ICML 2024] PyTorch implementation for "Diversified Batch Selection for Training Acceleration"☆10Jul 30, 2024Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆225Nov 24, 2025Updated 7 months ago
- PINNs for the 2d shallow water equations☆17Jun 21, 2025Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆173Apr 29, 2025Updated last year