Alternatives and similar repositories for KolSol

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

• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆44Updated 3 years ago
• pswpswpsw / paper-nif
  ☆40Updated 2 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆71Updated last month
• camlab-ethz / GenCFD
  Code for the paper "Generative AI for fast and accurate statistical computation of fluids"
  ☆48Updated 6 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…
  ☆97Updated 2 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆41Updated 3 years ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆19Updated 3 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…
  ☆57Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated 2 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆40Updated 10 months ago
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆71Updated 10 months ago
• tum-pbs / unrolling
  ☆18Updated last year
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆26Updated 11 months ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆34Updated 3 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 3 years ago
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆37Updated 2 months ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆20Updated 3 years ago
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆39Updated 5 months ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated 2 years ago
• envfluids / py2d
  Python 2D Navier-Stokes solver
  ☆26Updated 6 months ago
• BaratiLab / ROMER
  Reduced-Order Modeling of Fluid Flows with Transformers
  ☆25Updated 2 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 11 months ago
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆28Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆49Updated 10 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆106Updated last year
• camlab-ethz / GAOT
  [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
  ☆73Updated 3 months ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• bfly123 / PINN_WE
  Discontinuity Computing Using Physics-Informed Neural Network
  ☆27Updated last year
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆72Updated 2 months ago