lululxvi / tutorialsLinks
Tutorials on deep learning, Python, and dissipative particle dynamics
☆204Updated 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.☆83Updated 3 years ago
- DeepXDE and PINN☆141Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆263Updated 4 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆94Updated 3 years ago
- ☆375Updated 3 years ago
- ☆53Updated last year
- Physics-informed learning of governing equations from scarce data☆166Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆199Updated 2 years ago
- ☆162Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆345Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆184Updated last year
- PINN in solving Navier–Stokes equation☆119Updated 5 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆106Updated 3 years ago
- ☆192Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆265Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆228Updated 2 years ago
- hPINN: Physics-informed neural networks with hard constraints☆150Updated 4 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆153Updated 5 years ago
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆113Updated 4 months ago
- This is the code of my master thesis.☆169Updated 8 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- A place to share problems solved with SciANN☆297Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆124Updated 2 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆86Updated 4 months ago
- ☆235Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆75Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Updated 3 months ago