Alternatives and similar repositories for KernelsOperatorLearning

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

• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated 2 years ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆140Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆49Updated 2 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆68Updated 3 years ago
• continuous-pde / continuous-pde
  ☆14Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆44Updated 3 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• pdearena / pdearena
  ☆279Updated last year
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆19Updated 2 months ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆92Updated last month
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆28Updated 6 months ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆202Updated 3 weeks ago
• Crunch-UQ4MI / neuraluq
  ☆197Updated 8 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆166Updated 8 months ago
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 3 years ago
• mroberto166 / nio
  ☆39Updated 2 years ago
• neuraloperator / markov_neural_operator
  ☆39Updated 3 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 7 months ago
• LouisSerrano / coral
  ☆38Updated last year
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆145Updated 2 years ago
• ashiq24 / UNO
  ☆64Updated 9 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆25Updated 6 months ago
• BaratiLab / OFormer
  ☆89Updated last year
• computational-imaging / GraphPDE
  ☆55Updated 3 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 10 months ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆15Updated last year
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 3 years ago
• csccm-iitd / WNO
  ☆65Updated 4 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆70Updated last year
• thu-ml / GNOT
  ☆85Updated 2 years ago