Alternatives and similar repositories for Summer-research:

Users that are interested in Summer-research are comparing it to the libraries listed below

• sandy2008 / Neural-Networks-to-solve-PDE
  ☆23Updated 5 years ago
• ZeyuJia / DeepRitzMethod
  Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…
  ☆44Updated 6 years ago
• maziarraissi / PDE_GP
  Machine learning of linear differential equations using Gaussian processes
  ☆24Updated 6 years ago
• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆66Updated 2 years ago
• matlab-deep-learning / Inverse-Problems-using-Physics-Informed-Neural-Networks-PINNs
  ☆67Updated last year
• zwqwo / PINN_scratch
  ☆61Updated 2 years ago
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆88Updated 3 years ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆132Updated 3 years ago
• matlab-deep-learning / SciML-and-Physics-Informed-Machine-Learning-Examples
  This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learn…
  ☆25Updated last month
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆55Updated 4 years ago
• MinglangYin / PyTorchTutorial
  Examplary code for NN, MFNN, DynNet, PINNs and CNN
  ☆49Updated 3 years ago
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 6 years ago
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 5 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆185Updated 2 years ago
• zhubai-nyt / numerical-analysis-python
  Python数值分析算法实践学习资料
  ☆55Updated 11 months ago
• mariusmerkle / TL-PINNs
  Boosting the training of physics informed neural networks with transfer learning
  ☆26Updated 3 years ago
• sammitjain / NMPDE
  Numerical Methods for Partial Differential Equations (MATH F422 - BITS Pilani)
  ☆13Updated 7 years ago
• matlab-deep-learning / fourier-neural-operator
  ☆19Updated 2 years ago
• Balaje / Numerical-PDE
  Contains all the MATLAB Code written in Numerical Methods for PDE
  ☆26Updated 3 years ago
• Genesis2011 / Fractional-Order_Differential_Equations
  分数阶微分方程实例求解
  ☆19Updated 7 years ago
• JCERSM / DR-PDEE-MATLAB
  A Matlab toolbox for stochastic response analysis by DR-PDEE/GE-GDEE
  ☆25Updated last year
• dw-shin / basic_fem_tutorial
  FEM Tutorial for Beginners
  ☆31Updated 7 years ago
• EZ4BYG / Num_Func
  Numerical analysis toolbox, including interpolation, fitting, numerical integration, iterative solution of linear/nonlinear equations, so…
  ☆54Updated 4 years ago
• okada39 / pinn_burgers
  Physics Informed Neural Network (PINN) for Burgers' equation.
  ☆71Updated 8 months ago
• piaofengweiyu / DMD-and-POD-code
  the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods
  ☆17Updated 5 years ago
• yiqiangjizhang / Nonlinear-Systems-Chaos
  Non-Linear Dynamic Systems
  ☆26Updated 3 years ago
• hanyoseob / matlab-DMD
  Dynamic Mode Decomposition (DMD)
  ☆33Updated 3 years ago
• itsjacobhere / PINN
  Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations
  ☆17Updated 2 years ago
• helonayala / pinn
  codes for PINNs
  ☆12Updated 4 years ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆142Updated last year