PredictiveScienceLab / pift-paper-2023Links
Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
☆12Updated 2 years ago
Alternatives and similar repositories for pift-paper-2023
Users that are interested in pift-paper-2023 are comparing it to the libraries listed below
Sorting:
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- ☆36Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Updated 3 years ago
- ☆22Updated 5 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 4 years ago
- MATLAB solver for the deformation of an elastic half-space based on the Boundary Element Method (BEM)☆15Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆83Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆71Updated 4 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Updated 3 years ago
- ☆43Updated 8 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆24Updated 10 months ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Updated last year
- ☆11Updated 4 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆33Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- Tutorial on Gaussian Processes☆64Updated 5 years ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆58Updated 9 months ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Updated 4 years ago
- 用于求解薛定谔方程的数值解☆12Updated last year
- ☆14Updated 4 years ago
- ☆40Updated 2 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆24Updated 3 years ago
- ☆11Updated 4 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 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…☆43Updated 3 years ago