Alternatives and similar repositories for mscalednn

Users that are interested in mscalednn are comparing it to the libraries listed below

• VincLee8188 / Physics-Informed-Neural-Networks-PyTorch
  Implementation of physics informed neural networks with PyTorch
  ☆20Updated 4 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 3 years ago
• pcl-china / SK-PINN
  SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients
  ☆23Updated 8 months ago
• scaomath / eit-transformer
  [ICLR 2023] Interplay between the Attention and Electrical Impedance Tomography
  ☆34Updated 3 years ago
• arkadaw9 / PID-GAN
  ☆23Updated 4 years ago
• SchatzLabGT / SymbolicRegression
  ☆11Updated 4 years ago
• simone7monaco / PINNTrainingStrategies
  Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"
  ☆12Updated 3 years ago
• xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDE
  Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
  ☆25Updated last year
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 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…
  ☆43Updated 2 years ago
• BaratiLab / PhysicsInformedTokenTransformer
  Official repository for Physics Informed Token Transformer (PITT)
  ☆23Updated last year
• zabaras / inn-surrogate
  Solving inverse problems using conditional invertible neural networks.
  ☆33Updated 4 years ago
• mariusmerkle / TL-PINNs
  Boosting the training of physics informed neural networks with transfer learning
  ☆27Updated 4 years ago
• lonestar686 / AdaptiveFourierNeuralOperator
  ☆27Updated 3 years ago
• Blue-Giant / FMPINN
  Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…
  ☆14Updated last year
• paulpuren / PhySR
  Physics-informed deep super-resolution of spatiotemporal data
  ☆49Updated 2 years ago
• xgxgnpu / My-awesome-PINN-papers
  ☆36Updated 3 years ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated 2 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆25Updated last year
• Blue-Giant / PIELM_Numpy
  Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem
  ☆15Updated last year
• PredictiveScienceLab / pift-paper-2023
  Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
  ☆12Updated last year
• menggedu / AutoKE
  An automatic knowledge embedding framework for scientific machine learning
  ☆23Updated 3 years ago
• Pongpisit-Thanasutives / Multi-task-Physics-informed-neural-networks
  Multi-task physics-informed neural networks
  ☆25Updated 3 years ago
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated 3 months ago
• danielgreenfeld3 / Learning-to-optimize-multigrid-solvers
  ☆14Updated 6 years ago
• Jianxun-Wang / PICNNSR
  Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…
  ☆23Updated 4 years ago
• rodsveiga / PINNs
  Physics Informed Neural Networks
  ☆20Updated 5 years ago
• MatrixBrain / DMIS
  Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)
  ☆17Updated last year