giuliamesc / BPINNs
☆25Updated last year
Alternatives and similar repositories for BPINNs:
Users that are interested in BPINNs are comparing it to the libraries listed below
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆63Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆51Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆47Updated 4 years ago
- Implementing a physics-informed DeepONet from scratch☆34Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆25Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆47Updated 4 months ago
- Physics Informed Fourier Neural Operator☆18Updated 3 months ago
- Implementation of PINNs in TensorFlow 2☆74Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- ☆46Updated last month
- B-PINN - Jax - HMC tutorial☆15Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆67Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆56Updated 7 months ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆67Updated 6 months ago
- 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
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆22Updated last month
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- ☆113Updated 4 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆74Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- ☆52Updated 2 years ago
- PDE Preserved Neural Network☆46Updated 7 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- DeepONet extrapolation☆26Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆59Updated 2 years ago
- Multi-fidelity regression with neural networks☆11Updated 3 months ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆17Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆30Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆41Updated 9 months ago