akapet00 / locally-adaptive-activation-functions
Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networks (PINNs) in PyTorch.
☆30Updated 4 years ago
Alternatives and similar repositories for locally-adaptive-activation-functions:
Users that are interested in locally-adaptive-activation-functions are comparing it to the libraries listed below
- 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
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆26Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Competitive Physics Informed Networks☆27Updated 6 months ago
- POD-PINN code and manuscript☆49Updated 4 months ago
- Multifidelity DeepONet☆30Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆25Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- ☆19Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 2 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆24Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆85Updated last year
- Original implementation of fast PINN optimization with RBA weights☆49Updated 5 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆48Updated 2 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated 11 months ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆20Updated last year
- ☆31Updated 3 years ago
- ☆35Updated 2 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆13Updated 10 months ago
- PINN for obtaining WSS from sparse data☆62Updated last year
- Physics-informed radial basis network☆30Updated 10 months ago
- gPINN: Gradient-enhanced physics-informed neural networks☆84Updated 2 years ago
- DeepONet extrapolation☆26Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆21Updated last year