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

• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 6 months ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 3 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆40Updated 8 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 9 months ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• pehersto / ng
  Neural Galerkin
  ☆16Updated 2 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• neuraloperator / markov_neural_operator
  ☆39Updated 3 months ago
• cselab / LED
  ☆21Updated 3 years ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆47Updated 8 months ago
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• delta-lab-ai / pde-controller
  ☆24Updated 5 months ago
• neuraloperator / cond-diffusion-operators-edm
  ☆18Updated last year
• continuous-pde / continuous-pde
  ☆14Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆40Updated 4 months ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• csccm-iitd / VB-DeepONet
  ☆12Updated 3 years ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆23Updated 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."
  ☆75Updated 7 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆27Updated last year
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 6 years ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated 2 years ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆25Updated 6 months ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆25Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆49Updated 2 years ago