lululxvi / tutorialsLinks
Tutorials on deep learning, Python, and dissipative particle dynamics
☆196Updated 3 years ago
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- ☆52Updated 9 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆250Updated 3 years ago
- ☆364Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆80Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆188Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆152Updated 2 years ago
- DeepXDE and PINN☆128Updated 3 years ago
- A place to share problems solved with SciANN☆290Updated last year
- ☆225Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆212Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆89Updated 2 years ago
- ☆151Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆144Updated 3 years ago
- ☆177Updated last year
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆83Updated last month
- PINN in solving Navier–Stokes equation☆113Updated 5 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆99Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆167Updated last year
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆328Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆151Updated 5 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆156Updated last year
- This is the code of my master thesis.☆147Updated 5 months ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆330Updated last year
- Implementation of the Deep Ritz method and the Deep Galerkin method☆59Updated 5 years ago
- Physics-informed neural network for solving fluid dynamics problems☆244Updated 4 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆63Updated 4 years ago
- ☆69Updated last year