Alternatives and similar repositories for DeepLag

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

• thuml / RoPINN
  About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369
  ☆55Updated 7 months ago
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆71Updated 2 months ago
• thuml / HelmFluid
  About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…
  ☆19Updated 11 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆57Updated last year
• nec-research / CAPE-ML4Sci
  ☆13Updated 10 months ago
• L-I-M-I-T / LatentNeuralOperator
  ☆38Updated 2 months ago
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆15Updated last year
• LithiumDA / CodePDE
  CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
  ☆44Updated last week
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆54Updated 4 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆21Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆51Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆36Updated 5 months ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆28Updated 6 months ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆15Updated 9 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆66Updated last year
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated last year
• ashiq24 / UNO
  ☆59Updated 3 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆24Updated 7 months ago
• PredictiveIntelligenceLab / cvit
  ☆40Updated 4 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆46Updated last year
• thu-ml / GNOT
  ☆75Updated last year
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆55Updated 3 months ago
• computational-imaging / GraphPDE
  ☆52Updated 3 years ago
• anthonyzhou-1 / mae-pdes
  ☆12Updated 10 months ago
• neuraloperator / markov_neural_operator
  ☆34Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated 3 weeks ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆61Updated 3 years ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆25Updated last year
• Aalto-QuML / ClimODE
  ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
  ☆97Updated 3 months ago
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆23Updated 6 months ago