A foundation model to learn multiple physical systems at once
☆92Feb 7, 2026Updated 6 months ago
Alternatives and similar repositories for General-Physics-Transformer
Users that are interested in General-Physics-Transformer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A linear attention transformer package☆20Jul 18, 2025Updated last year
- ☆15Mar 13, 2026Updated 5 months ago
- ☆15Dec 13, 2022Updated 3 years ago
- [ICML 2025 GenBio Workshop] Official Implementation for "Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentia…☆18Jun 12, 2025Updated last year
- Official repository for Physics Informed Token Transformer (PITT)☆24Feb 24, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Foundation Model for Physics Simulations☆118Jul 10, 2025Updated last year
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆29Jul 26, 2024Updated 2 years ago
- [ICML 26 Spotlight] Code for paper "VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding"☆21Jun 5, 2026Updated 2 months ago
- ☆10Jun 13, 2022Updated 4 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆12May 17, 2024Updated 2 years ago
- Skoltech NLA 2024 course.☆37Dec 10, 2024Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆42Jan 18, 2024Updated 2 years ago
- ☆29Jun 12, 2025Updated last year
- The data and codes for "PDEGPT: Learning from Math handbooks for Partial Differential Equation Discovery"☆25Apr 23, 2026Updated 3 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.
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- [NeurIPS 2023] Formulating Discrete Probability Flow Through Optimal Transport☆21Jan 8, 2024Updated 2 years ago
- This is the official implementation of "CoPINN: Cognitive Physics-informed Neural Network" (ICML 2025, Spotlight)☆27Apr 12, 2026Updated 4 months ago
- ☆15Feb 16, 2026Updated 6 months ago
- ☆303Jun 23, 2026Updated last month
- Supporting codes for the numerical implementations in the paper "Operator inference for non-intrusive model reduction with quadratic mani…☆12Aug 18, 2022Updated 4 years ago
- PyTorch implementation of "Field Matching: an Electrostatic Paradigm to Generate and Transfer Data" (ICML 2025)☆21Jul 23, 2025Updated last year
- ☆11Nov 22, 2016Updated 9 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆30Oct 14, 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.
- Deploy & Monetize Agents in a Hour☆16Jun 28, 2025Updated last year
- Julia package for computer-aided design of quantum integrated circuits☆66Updated this week
- ☆28Dec 21, 2023Updated 2 years ago
- [TMLR] CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆84Feb 12, 2026Updated 6 months ago
- This work introduces LaT-PFN, a novel time series model that combines PFN and JEPA frameworks to generate zero-shot forecasts efficientl…☆22Aug 1, 2024Updated 2 years ago
- An all-in-one photonic electro-optic modulator design tool with complete modularity providing consistent optical mode solving, charge tra…☆24Updated this week
- ☆10Apr 5, 2021Updated 5 years ago
- ☆19Feb 13, 2024Updated 2 years ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆362Jun 4, 2025Updated last year
- 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.
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated 2 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆15Jun 27, 2025Updated last year
- 2D Cartesian Quadtree Adaptive Mesh Refinement (AMR) for multiphase Five Equations Model☆24Jul 26, 2018Updated 8 years ago
- ☆26Sep 1, 2025Updated 11 months ago
- ☆39Jul 9, 2025Updated last year
- This is a GPU optimized version of ShengBTE.☆20Oct 3, 2024Updated last year
- AMR version of Clawpack☆27Aug 11, 2026Updated last week