LiuYangMage / in-context-operator-networks

Related projects ⓘ

Alternatives and complementary repositories for in-context-operator-networks

• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆43Updated 5 months ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆15Updated last week
• LouisSerrano / coral
  ☆26Updated 3 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆35Updated 5 months ago
• thu-ml / GNOT
  ☆60Updated last year
• HaoZhongkai / GNOT
  ☆31Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆37Updated last year
• BaratiLab / OFormer
  ☆59Updated 2 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆28Updated 7 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆14Updated 6 months ago
• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆89Updated last month
• computational-imaging / GraphPDE
  ☆45Updated 2 years 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
  ☆63Updated 7 months ago
• PredictiveIntelligenceLab / cvit
  ☆19Updated last month
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆47Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆14Updated 3 weeks ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆20Updated 8 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆104Updated last month
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆52Updated 10 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆71Updated last month
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆37Updated 9 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆25Updated 5 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆73Updated 11 months ago
• LithiumDA / L_inf-PINN
  [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
  ☆35Updated last year
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆126Updated 2 months ago
• stnamjef / SPINN
  Source code for Separable PINN
  ☆57Updated last year
• neuraloperator / markov_neural_operator
  ☆27Updated 5 months ago
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆11Updated 8 months ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆22Updated 9 months ago
• yakovlev31 / graphpdes_experiments
  ☆33Updated 3 years ago