tuantran23012000 / RNN-for-Optimization-Problems
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
- ☆9Updated 3 years ago
- ☆28Updated last year
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆25Updated 5 months ago
- ☆31Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- Physics Informed Fourier Neural Operator☆19Updated 4 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆56Updated 3 years ago
- ☆53Updated 2 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆10Updated 4 years ago
- Giải tích số: Các phương pháp xấp xỉ nghiệm: chia đôi, lặp đơn, đa thức đặc trưng, newton, Cholesky_LU, Danilevski, Gauss, Gauss-Jordan, …☆10Updated last year
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆20Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆10Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆37Updated last year
- ☆23Updated 2 years ago
- Implementation of physics informed neural networks with PyTorch☆21Updated 4 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆68Updated 2 years ago
- ☆32Updated 2 years ago
- Physics Informed Neural Networks☆20Updated 4 years ago
- ☆12Updated last week
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆39Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 3 months ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆12Updated 3 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- PDE Preserved Neural Network☆46Updated 8 months ago
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆12Updated 10 months ago
- ☆21Updated 2 years ago
- DeepONet extrapolation☆26Updated last year
- Source code for Separable PINN☆70Updated last year
- ☆16Updated 3 weeks ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago