PINNs with irreversible constraints.
☆17Jun 10, 2026Updated 2 months ago
Alternatives and similar repositories for irr-pinns
Users that are interested in irr-pinns are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Staggered HARd-constrained Physics-Informed Neural Networks for Phase-field modelling of corrosion☆17Feb 19, 2025Updated last year
- Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction☆30Feb 27, 2026Updated 5 months ago
- TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion☆18Jul 3, 2026Updated last month
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆36Feb 18, 2025Updated last year
- Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)☆29Jul 21, 2026Updated 2 weeks ago
- 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.
- ☆15Mar 13, 2026Updated 4 months ago
- QCPINN: Quantum-Classical Physics-Informed Neural Networks☆25Dec 15, 2025Updated 7 months ago
- Separabale Physics-Informed DeepONets in JAX☆28Nov 29, 2024Updated last year
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 10 months ago
- This is the code of my master thesis.☆219Feb 7, 2026Updated 6 months ago
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated last year
- ☆34May 9, 2025Updated last year
- ☆10Sep 18, 2021Updated 4 years ago
- Different neural operators for various numerical experiments☆24May 4, 2025Updated 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.
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Nov 18, 2020Updated 5 years ago
- Dual mesh approach for solving phase field based brittle fracture problems☆13Jun 23, 2021Updated 5 years ago
- ☆69Jul 10, 2023Updated 3 years ago
- Error-free 3D printing. Defect detection and melt pool monitoring in a metal 3D printer. Tracks area of the melt pool, intensity, and rad…☆20Dec 15, 2020Updated 5 years ago
- This is the source code for paper “Automatic Network Structure Discovery of Physics Informed Neural Networks via Knowledge Distillation”☆92Oct 30, 2025Updated 9 months ago
- Embeddings for n-grams☆11Jun 22, 2018Updated 8 years ago
- A set of useful procedures to do different types of analysis in OpenSees☆18Feb 9, 2021Updated 5 years ago
- Deep learning for solving and estimating dynamic macro-finance models☆20Aug 23, 2025Updated 11 months ago
- experiment☆11Jan 29, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Notebooks repository for "Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty"☆17Sep 11, 2022Updated 3 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆37Nov 10, 2025Updated 9 months ago
- ☆97Apr 30, 2026Updated 3 months ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆88Apr 11, 2026Updated 3 months ago
- ☆20Dec 22, 2025Updated 7 months ago
- Comparison for time series prediction using Neural-ODEs and Neural-Flows☆18Nov 11, 2022Updated 3 years ago
- A simple n-gram language model.☆12Sep 11, 2018Updated 7 years ago
- ☆36Jul 19, 2023Updated 3 years ago
- Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations☆23Jun 10, 2026Updated last month
- 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.
- 使用LSTM预测回归问题，使用注意力机制自动提取特征的重要程度。Using LSTM to predict regression problems, Attention mechanism is used to automatically extract the impor…☆18Aug 30, 2020Updated 5 years ago
- [𝐍𝐚𝐭𝐮𝐫𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞] ⚡️ PSE/PSRN: Fast and efficient symbolic expression discovery through paralleliz…☆23May 17, 2026Updated 2 months ago
- ☆19Jul 9, 2025Updated last year
- An unstructured mesh library for automated method of characteristic mesh generation☆11May 2, 2026Updated 3 months ago
- This repository contains code for a project that trains a neural network to solve solid mechanics problems faster than the traditional fi…☆12Sep 28, 2023Updated 2 years ago
- Deep finite volume method☆23Jun 26, 2024Updated 2 years ago
- A curated paper list for "Foundation Neural Operators: A Survey on Pretraining Methods, Data Ecosystems, and Efficient Adaptation".☆36Feb 14, 2026Updated 5 months ago