Alternatives and similar repositories for Multi-task-Physics-informed-neural-networks

Users that are interested in Multi-task-Physics-informed-neural-networks are comparing it to the libraries listed below

• mariusmerkle / TL-PINNs
  Boosting the training of physics informed neural networks with transfer learning
  ☆26Updated 4 years ago
• rbischof / relative_balancing
  ☆63Updated 2 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 4 years ago
• AmeyaJagtap / Locally-Adaptive-Activation-Functions-Neural-Networks-
  Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…
  ☆40Updated 2 years ago
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆52Updated 8 months ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆88Updated last year
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 5 years ago
• obok13 / B-PINNs
  Pytorch implementation of Bayesian physics-informed neural networks
  ☆60Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆145Updated 3 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆70Updated last year
• ShuaiGuo16 / PI-DeepONet
  Implementing a physics-informed DeepONet from scratch
  ☆44Updated 2 years ago
• arkadaw9 / PID-GAN
  ☆21Updated 3 years ago
• ContiPaolo / MultiFidelity_NNs
  Multi-fidelity regression with neural networks
  ☆13Updated 7 months ago
• HiPerSimLab / PECANN
  PECANNs: Physics and Equality Constrained Artificial Neural Networks
  ☆23Updated 2 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆148Updated 5 years ago
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆93Updated 3 years ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 5 years ago
• ShashankSubramanian / adaptive-selfsupervision-pinns
  Gradient-based adaptive sampling algorithms for self-supervising PINNs
  ☆27Updated 2 years ago
• ShotaDeguchi / PINN_TF2
  Implementation of PINNs in TensorFlow 2
  ☆79Updated last year
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• PML-UCF / pinn_ode_tutorial
  ☆129Updated 2 years ago
• shamsbasir / investigating_mitigating_failure_modes_in_pinns
  This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…
  ☆18Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆214Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• JRice15 / physics-informed-autoencoders
  Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …
  ☆35Updated 2 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆137Updated 3 years ago
• mosaic-group / inverse-dirichlet-pinn
  Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021
  ☆11Updated 3 years ago
• saniaki / sequential_PINN
  Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems
  ☆56Updated 4 years ago
• hsbhc / AMAW-PINN
  Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
  ☆35Updated 2 years ago
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆37Updated last year