Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations'' by M. Raissi, P. Perdikaris, and G.E. Karniadakis from 2019.
☆37Jun 1, 2026Updated last month
Alternatives and similar repositories for Replication-PINNs
Users that are interested in Replication-PINNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Techniques for Regularization of Inverse Problems in Python (TRIPs-Py).☆21Sep 29, 2025Updated 9 months ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Aug 24, 2021Updated 4 years ago
- PINN_Platform_Backend☆11Dec 6, 2023Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆76Sep 11, 2025Updated 10 months ago
- Physics informed neural network (PINN) for the 2D Heat equation☆15Jun 23, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Physics-informed neural networks for studying heat transfer in porous media☆21Jun 13, 2025Updated last year
- ☆20Dec 22, 2025Updated 6 months ago
- ☆18Oct 23, 2024Updated last year
- Implementation of Pre-text invariant representation learning algorithm in pytorch☆11May 27, 2020Updated 6 years ago
- Python code for solving partial differential equations (PDEs) using deep learning. Specifically, we provide implementations for solving t…☆27Jun 14, 2024Updated 2 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Cohesive elements in Abaqus UMAT☆51Aug 31, 2020Updated 5 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆59Nov 17, 2025Updated 8 months ago
- 采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解☆17Feb 5, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆24May 5, 2025Updated last year
- ☆18Jul 8, 2025Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- physics-informed neural network and inverse physics-informed neural network☆17Jul 9, 2023Updated 3 years ago
- ☆12Apr 1, 2025Updated last year
- SE-PINN: Solving the Schrödinger Equation via Physics-Informed Machine Learning☆11Dec 17, 2025Updated 7 months ago
- Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise☆26Aug 3, 2017Updated 8 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆30May 8, 2023Updated 3 years ago
- ☆15May 11, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11Oct 15, 2025Updated 9 months ago
- RIMD: Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling (Siggraph 2016)☆11Mar 28, 2020Updated 6 years ago
- Differential equation neural operator☆22Sep 4, 2023Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆34Mar 19, 2026Updated 4 months ago
- ☆32Oct 21, 2024Updated last year
- StiffMa: Fast finite element STIFFness MAtrix generation in MATLAB by using GPU computing.☆27Updated this week
- hrtem lattice fringe image analysis algorithms - developed for carbon nanostructure analysis☆10Jan 9, 2026Updated 6 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆22Jun 20, 2024Updated 2 years ago
- PLAID (Physics-Learning AI Datamodel), a flexible and extensible framework for representing and sharing datasets of physics simulations☆25Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆14May 18, 2020Updated 6 years ago
- some materials about deep learning on medical image like x-rays, MRI, CT☆32Aug 13, 2017Updated 8 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…☆21May 3, 2024Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆19Dec 6, 2024Updated last year
- Code to reproduce analyses of mouse cortical gradients☆10Feb 27, 2019Updated 7 years ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆34Jun 2, 2023Updated 3 years ago
- Qi ZHANG's simulation code (very preliminary and there are a lot of aspects to improve)☆15Jan 23, 2026Updated 5 months ago