Alternatives and similar repositories for neural_operators_for_chaos

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

• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• cselab / LED
  ☆21Updated 3 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆40Updated 9 months ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆37Updated 3 years ago
• delta-lab-ai / pde-controller
  ☆25Updated 6 months ago
• neuraloperator / markov_neural_operator
  ☆39Updated 3 months ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆28Updated 6 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 10 months ago
• continuous-pde / continuous-pde
  ☆14Updated last year
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• pehersto / ng
  Neural Galerkin
  ☆16Updated 2 years ago
• yakovlev31 / graphpdes_experiments
  ☆35Updated 4 years ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆25Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆24Updated 3 years ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆22Updated 2 years ago
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆37Updated last year
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆36Updated 4 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• vivekoommen / NeuralOperator_DiffusionModel
  ☆47Updated 9 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated 2 years ago
• computational-imaging / GraphPDE
  ☆55Updated 3 years ago
• erichson / SuperBench
  ☆52Updated last year
• MariusZeinhofer / Natural-Gradient-PINNs-ICML23
  This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…
  ☆26Updated last year
• YaoGroup / MultistageNN
  Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
  ☆50Updated last year