About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/2402.02366
☆401Feb 26, 2026Updated 6 months ago
Alternatives and similar repositories for Transolver
Users that are interested in Transolver are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆84May 27, 2026Updated 3 months ago
- A Library for Advanced Neural PDE Solvers.☆336Mar 10, 2026Updated 5 months ago
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆105Oct 23, 2025Updated 10 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆351Apr 16, 2026Updated 4 months ago
- ☆69Jul 10, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for the paper Universal Physics Transformers☆169Jul 2, 2025Updated last year
- ☆62Jul 21, 2025Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆72Jun 10, 2024Updated 2 years ago
- ☆96Sep 2, 2024Updated last year
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆88Apr 11, 2026Updated 4 months ago
- A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks☆540May 14, 2026Updated 3 months ago
- ☆26Sep 1, 2025Updated 11 months ago
- ☆74Updated this week
- ☆95Jul 18, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆1,119Jun 29, 2026Updated 2 months ago
- ☆65Jun 18, 2026Updated 2 months ago
- Official Code for "GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training" (ICML 2026) https://arxiv.org/pdf/2602.20399☆253May 20, 2026Updated 3 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆85Apr 10, 2025Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆173Apr 29, 2025Updated last year
- The official repository of “Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention”. Comin…☆21Mar 24, 2026Updated 5 months ago
- Code for "Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space"☆25Mar 25, 2026Updated 5 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆33Dec 5, 2024Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆26Jun 3, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for Mesh Transformer describes in the EAGLE dataset☆43Feb 21, 2025Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,192Mar 30, 2026Updated 5 months ago
- ☆18Aug 17, 2024Updated 2 years ago
- Learning in infinite dimension with neural operators.☆3,844Aug 6, 2026Updated 3 weeks ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆60Jun 10, 2024Updated 2 years ago
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆65Jul 14, 2025Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆296Oct 25, 2025Updated 10 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆195Apr 10, 2025Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆228Nov 24, 2025Updated 9 months 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.
- ☆311Sep 14, 2024Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- ☆26May 21, 2024Updated 2 years ago
- [Communications AI & Computing 2026]An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding☆23Jun 24, 2026Updated 2 months ago
- ☆19Dec 31, 2023Updated 2 years ago
- Code for orthogonal neural operator☆17Oct 15, 2023Updated 2 years ago
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆3,208Updated this week