menggedu / AutoKELinks
An automatic knowledge embedding framework for scientific machine learning
☆23Updated 3 years ago
Alternatives and similar repositories for AutoKE
Users that are interested in AutoKE are comparing it to the libraries listed below
Sorting:
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 7 months ago
- Physics Informed Fourier Neural Operator☆24Updated 9 months ago
- ☆26Updated 3 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 5 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆24Updated 2 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆63Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 3 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆38Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆152Updated last year
- Physics-guided Convolutional Neural Network☆65Updated 4 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆27Updated 2 years ago
- PDE Preserved Neural Network☆54Updated 3 months ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆23Updated 2 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆11Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆46Updated last year
- Original implementation of fast PINN optimization with RBA weights☆58Updated 4 months ago
- POD-PINN code and manuscript☆52Updated 9 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆49Updated 2 years ago
- Multi-fidelity regression with neural networks☆14Updated 9 months ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated last year
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆31Updated 2 years ago
- This is the implementation of the RecFNO.☆21Updated 2 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆33Updated 4 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆97Updated 3 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- ☆64Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago