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

• cselab / LED
  ☆21Updated 2 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 2 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 8 months ago
• pehersto / ng
  Neural Galerkin
  ☆16Updated 2 years ago
• neuraloperator / markov_neural_operator
  ☆39Updated 2 months ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆18Updated last year
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 3 years ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 5 months ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated last year
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆37Updated 8 months ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 3 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆36Updated 3 years ago
• SmartTURB / diffusion-lagr
  Synthetic Lagrangian Turbulence by Generative Diffusion Models
  ☆26Updated last year
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆23Updated 2 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆28Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• delta-lab-ai / pde-controller
  ☆24Updated 5 months ago
• 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…
  ☆24Updated last year
• fishmoon1234 / Nonlocal-Attention-Operator
  Attention mechanism-based neural operator models to solve both forward and inverse problems.
  ☆16Updated 5 months ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last month
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆28Updated 2 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• erichson / SuperBench
  ☆52Updated last year
• neuraloperator / cond-diffusion-operators-edm
  ☆17Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆24Updated 5 months ago