A Warp Drive for Neural PDE Solvers
☆47Jun 3, 2026Updated 2 months ago
Alternatives and similar repositories for flowers
Users that are interested in flowers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆26Jun 3, 2025Updated last year
- 🍦Icecream: a self-supervised framework for cryo-ET reconstruction☆34Jun 23, 2026Updated last month
- ☆18May 20, 2026Updated 2 months ago
- This is the code of the Deep neural Operator for Free Boundary Problems☆15Mar 22, 2026Updated 4 months ago
- [🔥ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data☆111Jul 16, 2026Updated 3 weeks 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 of ICML paper arxiv.org/abs/2302.08105☆14May 4, 2023Updated 3 years ago
- About code release of "Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorit…☆22Feb 10, 2026Updated 6 months ago
- [ICML 2026] Official PyTorch implementation of the SMART model.☆21May 18, 2026Updated 2 months ago
- A Library for Advanced Neural PDE Solvers.☆334Mar 10, 2026Updated 5 months ago
- IsoNet at higher resolution☆37Jun 25, 2026Updated last month
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆227Nov 24, 2025Updated 8 months ago
- ☆69Jul 10, 2023Updated 3 years ago
- [TMLR 2025] Mesh-Informed Neural Operator : A Transformer Generative Approach☆19Jun 1, 2026Updated 2 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆397Feb 26, 2026Updated 5 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆102Oct 23, 2025Updated 9 months ago
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated last year
- [NeurIPS 2025] Official PyTorch implementation of the CALM layers and CALM-PDE model.☆21Oct 20, 2025Updated 9 months ago
- Official repository for Physics Informed Token Transformer (PITT)☆25Feb 24, 2024Updated 2 years ago
- AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neu…☆234May 26, 2026Updated 2 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆35May 30, 2025Updated last year
- This is the repository for the 2021 uq-bio Summer School☆13May 9, 2022Updated 4 years ago
- ☆72Updated this week
- Massively-parallelised Navier-Stokes solver with a volume-of-fluid method for bubbly flows☆11Sep 13, 2025Updated 10 months 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.
- Learning how to code a package for solving simple Hartree-Fock electronic structure calculations.☆21Jun 12, 2020Updated 6 years ago
- PINNs with irreversible constraints.☆17Jun 10, 2026Updated 2 months ago
- ☆14Dec 10, 2024Updated last year
- Unified framework for solving multiphysics problems of the multi-region coupling type within OpenFOAM (FOAM-extend)☆13Mar 14, 2024Updated 2 years ago
- 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
- ☆18May 7, 2026Updated 3 months ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆38Updated this week
- Notebooks repository for "Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty"☆17Sep 11, 2022Updated 3 years ago
- ☆28Jun 7, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- This is the implementation of the paper "Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians"(CVPR 2025).☆21May 15, 2025Updated last year
- ☆10Dec 26, 2025Updated 7 months ago
- ☆29Jul 8, 2024Updated 2 years ago
- Neural-operator element method☆63May 9, 2026Updated 3 months ago
- A code based on the Finite Volume Method discretisation of Navier-Stokes equations for simulation of compressible shear layer☆16Oct 17, 2018Updated 7 years ago
- Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations☆23Jun 10, 2026Updated 2 months ago
- ☆19Jul 9, 2025Updated last year