tuantran23012000 / RNN-for-Optimization-ProblemsLinks
Build a Recurrent Neural Network solving Optimization Problems
☆10Updated 3 years ago
Alternatives and similar repositories for RNN-for-Optimization-Problems
Users that are interested in RNN-for-Optimization-Problems are comparing it to the libraries listed below
Sorting:
- ☆59Updated 2 years ago
- Code Implementation of AdjointDiffusion: a physics-guided and fabrication-aware optimization of photonic devices☆12Updated last month
- ☆36Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆10Updated 9 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆63Updated 4 years ago
- Neural operator surrogates for electromagnetic inverse design☆42Updated last year
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆29Updated 10 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆87Updated 2 years ago
- Physics Informed Fourier Neural Operator☆23Updated 9 months ago
- Data-guided physics-informed neural networks☆13Updated last year
- Physics Informed Neural Networks☆20Updated 5 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆41Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 9 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆140Updated 3 years ago
- ☆64Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆46Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆23Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆23Updated last month
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆40Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated last year
- ☆11Updated 2 months ago
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆14Updated last year
- Competitive Physics Informed Networks☆30Updated 11 months ago
- ☆30Updated last year
- Use Fourier transform to learn operators in differential equations.☆36Updated 4 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆18Updated 3 years ago
- Multi-fidelity regression with neural networks☆15Updated 9 months ago
- hPINN: Physics-informed neural networks with hard constraints☆142Updated 3 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆12Updated 3 years ago