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:
- ☆17Mar 10, 2022Updated 4 years ago
- Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…☆24Apr 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 last year
- This repo provides some examples (mostly solving PDE) to compare KAN and MLP☆19May 3, 2024Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- Deep finite volume method☆22Jun 26, 2024Updated last year
- 一个极简主义的毕业答辩Beamer模板☆13May 6, 2023Updated 2 years ago
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆14May 18, 2020Updated 5 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆28Jul 26, 2024Updated last year
- Separabale Physics-Informed DeepONets in JAX☆23Nov 29, 2024Updated last year
- ☆23Oct 23, 2020Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆53Sep 30, 2021Updated 4 years ago
- Original implementation of fast PINN optimization with RBA weights☆71Sep 11, 2025Updated 7 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 3 months ago
- A lightweight implementation of MPC and NMPC in C++ using Eigen3☆10Oct 27, 2023Updated 2 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆63Jun 4, 2020Updated 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
- ☆11Jul 21, 2023Updated 2 years ago
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆12Dec 12, 2023Updated 2 years ago
- Physics Informed Fourier Neural Operator☆30Nov 21, 2024Updated last year
- Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation☆14Nov 15, 2024Updated last year
- A Python package for Random Feature Method (RFM)☆29Mar 12, 2026Updated 3 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆119Aug 26, 2025Updated 7 months ago
- Official repository for Physics Informed Token Transformer (PITT)☆24Feb 24, 2024Updated 2 years ago
- ☆10Jul 2, 2022Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆24Oct 1, 2021Updated 4 years ago
- ☆32Mar 14, 2025Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- ☆12Dec 13, 2024Updated last year
- Physics Informed Neural Network for Time Series Forecasting☆13Jun 1, 2023Updated 2 years ago
- Parallel Particle Swarm Optimizer on the Spark Clustering Computing Platform.☆12Oct 29, 2018Updated 7 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆56Apr 17, 2024Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆73Sep 13, 2021Updated 4 years ago
- Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems☆13May 17, 2023Updated 2 years ago
- ☆34Dec 8, 2022Updated 3 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆37Sep 7, 2025Updated 7 months ago
- FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries☆47Feb 2, 2025Updated last year