Alternatives and similar repositories for markov_neural_operator:

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

• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆44Updated last year
• computational-imaging / GraphPDE
  ☆50Updated 2 years ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆49Updated 10 months ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆52Updated 2 years ago
• mroberto166 / nio
  ☆32Updated last year
• thu-ml / GNOT
  ☆71Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆63Updated last year
• HaoZhongkai / GNOT
  ☆42Updated last year
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated 10 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆42Updated last year
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated 8 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆51Updated 2 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆32Updated last month
• LouisSerrano / coral
  ☆31Updated 9 months ago
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆17Updated 11 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆17Updated 6 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆39Updated 2 months ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆23Updated last month
• 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 3 weeks ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆60Updated last week
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 10 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆11Updated 10 months ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆59Updated 3 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• BaratiLab / OFormer
  ☆75Updated 8 months ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆19Updated 10 months ago
• nec-research / CAPE-ML4Sci
  ☆13Updated 8 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆21Updated 11 months ago