Alternatives and similar repositories for prose:

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

• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆44Updated last month
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆39Updated 7 months ago
• PredictiveIntelligenceLab / cvit
  ☆25Updated 3 months ago
• computational-imaging / GraphPDE
  ☆45Updated 2 years ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆39Updated last year
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆20Updated last year
• sjunhongshen / UnifiedPDESolvers
  ☆15Updated 7 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆80Updated last month
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆47Updated 7 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆55Updated last year
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆11Updated 10 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆15Updated 2 months ago
• BaratiLab / OFormer
  ☆63Updated 4 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆30Updated 9 months ago
• thu-ml / GNOT
  ☆66Updated last year
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆29Updated 2 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆35Updated 9 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆28Updated 6 months ago
• LouisSerrano / coral
  ☆27Updated 5 months ago
• neuraloperator / markov_neural_operator
  ☆27Updated 7 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆61Updated 9 months ago
• Extrality / AirfRANS
  In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…
  ☆44Updated last week
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆25Updated last year
• HaoZhongkai / GNOT
  ☆34Updated last year
• vivekoommen / NeuralOperator_DiffusionModel
  ☆16Updated 4 months ago
• Zhengyu-Huang / Operator-Learning
  ☆37Updated 2 years ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆24Updated last month
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆55Updated 5 months ago
• continuous-pde / continuous-pde
  ☆12Updated 11 months ago
• scaomath / torch-cfd
  Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆23Updated last month