Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
☆31Feb 27, 2026Updated 7 months ago
Alternatives and similar repositories for SCALE-PINN
Users that are interested in SCALE-PINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆36Jan 10, 2025Updated last year
- Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)☆29Jul 21, 2026Updated 3 months ago
- ☆15Mar 13, 2026Updated 7 months ago
- PINNs with irreversible constraints.☆18Jun 10, 2026Updated 4 months ago
- The first open-source repository for Scientific Machine Learning (PINNs, PIELM, RFM, Neural Operators) via Vibe Coding. JAX-GPU implement…☆131Sep 23, 2026Updated last month
- 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.
- QCPINN: Quantum-Classical Physics-Informed Neural Networks☆26Dec 15, 2025Updated 10 months ago
- ☆11Apr 12, 2019Updated 7 years ago
- ☆11Feb 4, 2025Updated last year
- A curated paper list for "Foundation Neural Operators: A Survey on Pretraining Methods, Data Ecosystems, and Efficient Adaptation".☆38Feb 14, 2026Updated 8 months ago
- This is the official implementation of "CoPINN: Cognitive Physics-informed Neural Network" (ICML 2025, Spotlight)☆27Apr 12, 2026Updated 6 months ago
- ☆13Mar 21, 2024Updated 2 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 last year
- 2D Lid Driven Cavity Flow Simulations: FEM vs FDM vs SIMPLE☆14Jun 2, 2019Updated 7 years ago
- ☆75Oct 5, 2026Updated 2 weeks ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- This repository consists of two-step training DeepONet code.☆13May 22, 2024Updated 2 years ago
- Laminar flow prediction using graph neural networks☆32Jan 17, 2025Updated last year
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated 2 years ago
- ☆46Mar 4, 2025Updated last year
- ☆55Aug 19, 2025Updated last year
- ☆64Jul 21, 2025Updated last year
- Matlab stuff for Direct Current modelling and inversion including link to pyGIMLi☆16Feb 1, 2021Updated 5 years ago
- ICML 2024 (Oral)☆42Dec 15, 2024Updated 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.
- Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames☆23Mar 4, 2025Updated last year
- This is an offical implementation of the MT Forward Modeling using the EFKAN as presented in the article: EFKAN: A KAN-Integrated Neural …☆15Jan 2, 2025Updated last year
- Neural-operator element method☆71May 9, 2026Updated 5 months ago
- A Reinforcement Learning Based Algorithm for On Ramp Merging☆13May 29, 2026Updated 4 months ago
- Code for "Learning a neural solver for Parametric PDE to Enhance Physics-Informed Methods", poster at ICLR 2025.☆12Oct 10, 2025Updated last year
- Quantum DeepONet: Neural operators accelerated by quantum computing☆23Jun 10, 2025Updated last year
- ☆28Sep 18, 2025Updated last year
- About code release of "Geometry-Aware Operator Transformer: A Generalizable Framework for PDE Solution Operators"☆29Dec 8, 2025Updated 10 months ago
- ☆102Apr 30, 2026Updated 5 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆16Nov 20, 2023Updated 2 years ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆42Apr 1, 2026Updated 6 months ago
- Official Implement for Paper "Neural Krylov Iteration for Accelerating Linear System Solving"☆16May 6, 2025Updated last year
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Sep 19, 2026Updated last month
- ☆11Nov 11, 2024Updated last year
- ☆19Aug 13, 2024Updated 2 years ago
- ☆20Aug 6, 2024Updated 2 years ago