lululxvi / tutorialsLinks
Tutorials on deep learning, Python, and dissipative particle dynamics
☆205Updated 3 years ago
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- Basic implementation of physics-informed neural network with pytorch.☆84Updated 3 years ago
- DeepXDE and PINN☆146Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆267Updated 4 years ago
- ☆380Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆202Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆97Updated 3 years ago
- ☆54Updated last year
- ☆165Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆350Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆167Updated 2 years ago
- ☆238Updated 4 years ago
- ☆197Updated last year
- A place to share problems solved with SciANN☆300Updated 2 years ago
- PINN in solving Navier–Stokes equation☆124Updated 5 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆185Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆107Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆87Updated 4 months ago
- hPINN: Physics-informed neural networks with hard constraints☆153Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆231Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆157Updated 5 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆167Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆265Updated 2 years ago
- This is the code of my master thesis.☆176Updated 9 months ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆129Updated 2 months ago
- Physics-informed neural network for solving fluid dynamics problems☆261Updated 4 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆122Updated last year