Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem
☆19Dec 6, 2024Updated last year
Alternatives and similar repositories for PIELM_Numpy
Users that are interested in PIELM_Numpy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆18Mar 10, 2022Updated 4 years ago
- Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…☆25Apr 2, 2024Updated 2 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated 2 years ago
- Deep finite volume method☆23Jun 26, 2024Updated 2 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine☆23Jun 4, 2025Updated last year
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆14May 18, 2020Updated 6 years ago
- Staggered HARd-constrained Physics-Informed Neural Networks for Phase-field modelling of corrosion☆17Feb 19, 2025Updated last year
- ☆11Aug 12, 2022Updated 3 years ago
- ☆23Oct 23, 2020Updated 5 years ago
- Tool to design and optimize autonomous vehicle concepts.☆12Aug 29, 2022Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆54Sep 30, 2021Updated 4 years ago
- A lightweight implementation of MPC and NMPC in C++ using Eigen3☆11Oct 27, 2023Updated 2 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆22Jun 19, 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.
- Original implementation of fast PINN optimization with RBA weights☆78Sep 11, 2025Updated 10 months ago
- A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression☆24Oct 2, 2020Updated 5 years ago
- ☆24Jul 16, 2026Updated 3 weeks ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆66Jun 4, 2020Updated 6 years ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- Rainfall Prediction or Rainfall Forecasting via machine learning, such as SVR, LSTM, MLP, Seq2Seq, GBRT and XGBoost☆14Jul 30, 2021Updated 5 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- ☆12Jul 21, 2023Updated 3 years ago
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆12Dec 12, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Delineates optically shallow and deep waters in Sentinel-2 imagery☆17Jul 4, 2025Updated last year
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆23Jul 30, 2026Updated last week
- AI-CFD hybrid solver.☆17Apr 21, 2026Updated 3 months ago
- Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation☆14Nov 15, 2024Updated last year
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆30Jul 26, 2024Updated 2 years ago
- Animation of how Gradient Descent finds the local minimum. Demonstrate how learning rate and starting points affect Gradient Descent.☆15Feb 1, 2023Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆35Dec 4, 2023Updated 2 years ago
- Dual mesh approach for solving phase field based brittle fracture problems☆13Jun 23, 2021Updated 5 years ago
- Physics Informed Fourier Neural Operator☆31Nov 21, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆123Aug 26, 2025Updated 11 months ago
- ☆10Jul 2, 2022Updated 4 years ago
- This project uses Bayesian Optimization to find the optimal hyperparameters for a fully-connected feed-forward neural network used to est…☆11Oct 24, 2020Updated 5 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆41Nov 2, 2024Updated last year
- ☆27Jul 7, 2022Updated 4 years ago
- Burgers equation solved by PINN in PyTorch☆26Oct 1, 2021Updated 4 years ago
- Physics Informed Neural Network for Time Series Forecasting☆13Jun 1, 2023Updated 3 years ago