P3D
☆36Apr 11, 2026Updated 3 months ago
Alternatives and similar repositories for P3D
Users that are interested in P3D are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Neural Emulator Architectures in JAX.☆26Jun 1, 2026Updated 2 months ago
- Training methodologies for autoregressive neural operators/emulators in JAX.☆14Jun 1, 2026Updated 2 months ago
- "Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data" [NeurIPS 2025]☆17May 21, 2026Updated 2 months ago
- ☆13Dec 19, 2023Updated 2 years ago
- ☆15Nov 18, 2024Updated last year
- 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.
- [ICLR 2026] Official implementation of PBFM - Physics-Based Flow Matching☆75Feb 9, 2026Updated 5 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆35May 30, 2025Updated last year
- AeroTransformer☆15Apr 23, 2026Updated 3 months ago
- Implementation of various equivariant models in JAX☆18Apr 12, 2024Updated 2 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆60Jul 15, 2026Updated 2 weeks ago
- 【非公式】日本機械学会 BibTeX スタイルファイルテンプレート☆13Oct 15, 2024Updated last year
- ☆29Jul 8, 2024Updated 2 years ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆87Apr 11, 2026Updated 3 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆107Jun 1, 2026Updated 2 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆36Jul 11, 2017Updated 9 years ago
- Official implementation of "Guiding diffusion models to reconstruct flow fields from sparse data"☆21Jan 20, 2026Updated 6 months ago
- ☆37Jul 16, 2026Updated 2 weeks ago
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Mar 20, 2024Updated 2 years ago
- AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neu…☆218May 26, 2026Updated 2 months ago
- ☆13May 30, 2024Updated 2 years ago
- A Glyph script for generating NACA 4-series airfoil geometries and boundary layer meshes.☆31Jun 4, 2026Updated last month
- Learning Neural Differential Algebraic Equations via Operator Splitting☆20Jul 24, 2025Updated last year
- Latent Mamba Operator for Partial Differential Equations☆17Jun 3, 2025Updated last year
- 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.
- A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.☆32Feb 14, 2024Updated 2 years ago
- Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics [ECLR ICCV'25]☆16Jul 8, 2025Updated last year
- ☆16Apr 25, 2026Updated 3 months ago
- ☆41Jul 20, 2023Updated 3 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆16Aug 24, 2024Updated last year
- JAX-DIPS is a differentiable interfacial PDE solver.☆53Sep 14, 2024Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆82Nov 21, 2025Updated 8 months ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆16Oct 12, 2022Updated 3 years ago
- Signed distance field computations for meshes☆12Oct 7, 2014Updated 11 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆58May 23, 2023Updated 3 years ago
- Code for Lie Symmetries SSL paper☆26Mar 19, 2024Updated 2 years ago
- Efficient Differentiable n-d PDE Solvers in JAX.☆220Jun 1, 2026Updated 2 months ago
- ☆13Apr 8, 2024Updated 2 years ago
- Universal Partial Differential Equations Simulator☆26Feb 4, 2025Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆193Apr 10, 2025Updated last year
- ☆24Nov 24, 2024Updated last year