Alternatives and similar repositories for ng

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

• elizqian / operator-inference
  ☆10Updated 2 years ago
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆36Updated 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…
  ☆73Updated 2 weeks ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆16Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆40Updated 3 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• MariusZeinhofer / Natural-Gradient-PINNs-ICML23
  This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…
  ☆19Updated 7 months ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• nickmcgreivy / WeakBaselinesMLPDE
  ☆26Updated 10 months ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 2 years ago
• roxie62 / neural_operators_for_chaos
  ☆10Updated 2 months ago
• akaptano / POD-Galerkin_MHD
  This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…
  ☆19Updated 4 years ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated 2 years ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆41Updated last week
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆21Updated last year
• somdattagoswami / Approximating-StiffKinetics
  ☆11Updated last year
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆26Updated 2 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆30Updated 2 months ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆44Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated this week
• VLSF / SNO
  Spectral Neural Operator
  ☆77Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆11Updated 11 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-…
  ☆19Updated 2 years ago
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆29Updated 7 months ago
• jtoleary / SPINN
  Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…
  ☆14Updated 3 years ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆15Updated 4 years ago
• julesberman / CoLoRA
  ☆12Updated last year
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago