Alternatives and similar repositories for Transolver:

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

• BaratiLab / OFormer
  ☆72Updated 7 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆238Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆49Updated last month
• thu-ml / GNOT
  ☆70Updated last year
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆53Updated 10 months ago
• HaoZhongkai / GNOT
  ☆41Updated last year
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆69Updated this week
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆185Updated 4 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆139Updated this week
• AdityaLab / pinnsformer
  ☆120Updated 5 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆84Updated 4 months ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆284Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆47Updated 10 months ago
• WillDreamer / Awesome-AI4CFD
  Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
  ☆171Updated 2 weeks ago
• lizhihao2022 / Awesome-AI4PDE
  Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…
  ☆35Updated this week
• alasdairtran / fourierflow
  [ICLR 2023] Factorized Fourier Neural Operators
  ☆161Updated last year
• PredictiveIntelligenceLab / cvit
  ☆29Updated last month
• PredictiveIntelligenceLab / CausalPINNs
  ☆160Updated last year
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆132Updated 3 years ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆44Updated last year
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆89Updated last month
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆166Updated 6 months ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆307Updated 8 months ago
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆120Updated this week
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆132Updated 7 months ago
• csccm-iitd / WNO
  ☆49Updated 2 months ago
• LithiumDA / L_inf-PINN
  [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
  ☆39Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆70Updated last year
• LouisSerrano / coral
  ☆29Updated 8 months ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆147Updated 11 months ago