Alternatives and similar repositories for PDE-VAE-pytorch

Users that are interested in PDE-VAE-pytorch are comparing it to the libraries listed below

• PhIMaL / DeePyMoD
  ☆48Updated last year
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 2 years ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆13Updated last year
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 2 years ago
• Yubin-Lu / Temporal-normalizing-flows-for-SDEs
  Try to approximate the solution of Fokker-Planck equation
  ☆9Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆42Updated 2 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆35Updated 4 months ago
• yakovlev31 / graphpdes_experiments
  ☆35Updated 4 years ago
• mroberto166 / nio
  ☆36Updated 2 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆26Updated 3 years ago
• cselab / LED
  ☆21Updated 2 years ago
• arkadaw9 / PID-GAN
  ☆23Updated 3 years ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆63Updated 3 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆14Updated last year
• neuraloperator / markov_neural_operator
  ☆36Updated last year
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆65Updated 3 months ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 6 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 5 years ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 3 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆66Updated last year
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆23Updated last year
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated last year
• Raocp / PeRCNN
  Physics-encoded recurrent convolutional neural network
  ☆46Updated 3 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…
  ☆41Updated 2 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago