Alternatives and similar repositories for Physics-Informed-Reinforcement-Learning

Users that are interested in Physics-Informed-Reinforcement-Learning are comparing it to the libraries listed below

• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• pde-sim / teng
  Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"
  ☆15Updated last year
• Baldea-Group / DySMHO
  ☆10Updated 2 years ago
• 1shirong / dwPINNs
  Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations
  ☆14Updated 3 years ago
• xdfeng7370 / Multi-fidelity-neural-network-
  ☆43Updated 2 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 4 years ago
• zheyuanhu01 / SDGD_PINN
  Tackling the Curse of Dimensionality with Physics-Informed Neural Networks
  ☆15Updated last year
• RuiyangLi6 / PINN-pBTE-deltaT
  ☆13Updated 3 years ago
• tum-pbs / DiffPhys-CylinderWakeFlow
  ☆18Updated last year
• pierremtb / UQPINNs-TF2.0
  TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…
  ☆21Updated 2 years ago
• nimahsn / pinns_tf2
  PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…
  ☆20Updated last year
• gaoliyao / BayesianSindyAutoencoder
  Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…
  ☆11Updated last year
• tittuvmathew / tvmathew1986-Physics_Informed_Neural_Network_for_Continuum_Mechanics_application
  The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …
  ☆11Updated 5 years ago
• berkcankapusuzoglu / Physics-Informed-and-Hybrid-Machine-Learning-in-Additive-Manufacturing
  Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication
  ☆19Updated 4 years ago
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆40Updated 2 years ago
• Blue-Giant / PIELM_Numpy
  Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem
  ☆16Updated last year
• paulpuren / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆31Updated 4 years ago
• NicolaRFranco / dlroms
  ☆12Updated last month
• Denis-Khimin / OptimalControlPDEAutoDiff
  Optimal Control with PDEs solved by a Differentiable Solver
  ☆13Updated last year
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆33Updated 2 years ago
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated 4 months ago
• YuanAHa / PIGNN
  ☆14Updated last year
• JacobSRPage / super-res-dynamical
  ☆12Updated last year
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆29Updated 6 months ago
• Panda000001 / PINN-POD
  This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…
  ☆12Updated 2 years ago
• quest-lab-iisc / PINN_WakeTurbulenceModel
  ☆27Updated last year
• KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows
  ☆41Updated 8 months ago
• mpimd-csc / RK4-SinDy
  ☆14Updated 4 years ago
• hsbhc / AMAW-PINN
  Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
  ☆38Updated 2 years ago
• kochlisGit / Physics-Informed-Neural-Network-PINN-Tensorflow
  Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…
  ☆16Updated 3 years ago