Examplary code for NN, MFNN, DynNet, PINNs and CNN
☆51Sep 12, 2021Updated 4 years ago
Alternatives and similar repositories for PyTorchTutorial
Users that are interested in PyTorchTutorial are comparing it to the libraries listed below
Sorting:
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆14Jun 27, 2025Updated 8 months ago
- ☆43May 10, 2023Updated 2 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Jul 30, 2020Updated 5 years ago
- ☆41Sep 11, 2023Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆34Apr 15, 2023Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 6 months ago
- multi-fidelity neural network☆22Mar 1, 2026Updated 2 weeks ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Apr 9, 2024Updated last year
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 4 years ago
- ☆15Dec 20, 2020Updated 5 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆27Jan 20, 2023Updated 3 years ago
- PINNs-Demo☆13Jun 2, 2022Updated 3 years ago
- PINN, DGM and DRM☆20Jul 3, 2023Updated 2 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Dec 4, 2019Updated 6 years ago
- 【清华大学《计算机动画原理与算法》大作业】MPM fluid simulation and surface reconstruction using Taichi; A path tracer implemented by LuisaCompute python front…☆14Jan 16, 2024Updated 2 years ago
- Solving PDEs with NNs☆56Jan 6, 2023Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆72Sep 13, 2021Updated 4 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Jul 12, 2023Updated 2 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆75Aug 21, 2024Updated last year
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆35Dec 27, 2020Updated 5 years ago
- PINN for solving wave equation☆25Dec 17, 2022Updated 3 years ago
- ☆10Mar 28, 2022Updated 3 years ago
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆21Nov 15, 2023Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆266Nov 30, 2023Updated 2 years ago
- A course on developing MPM with Python☆25Jun 11, 2025Updated 9 months ago
- ☆46Nov 27, 2023Updated 2 years ago
- MPM benchmarks☆15Oct 5, 2023Updated 2 years ago
- ☆38Aug 15, 2020Updated 5 years ago
- A finite element code for prediction of the response of viscoelastic materials☆12Mar 14, 2023Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆268Jan 28, 2021Updated 5 years ago
- 采用PINN/ResPINN对两种偏微分方程(Burgers&Allen-Cahn)的训练与求解☆16Feb 5, 2021Updated 5 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆11Nov 23, 2025Updated 3 months ago
- ☆19Jun 10, 2022Updated 3 years ago
- Matlab code performing the finite element simulation of an electrolyte contained within a phase-field representation of cracks. A novel d…☆17Jul 21, 2023Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Apr 28, 2023Updated 2 years ago
- ☆34Dec 8, 2022Updated 3 years ago
- Standard Material Point Method 2D code for beginners☆14Aug 7, 2021Updated 4 years ago
- Explicit GPU-based implementation under a mpm numerical framework (GIMPM) to solve for elasto-plastic problems in Geomechanics.☆19Oct 28, 2021Updated 4 years ago