Alternatives and similar repositories for ctf4science

Users that are interested in ctf4science are comparing it to the libraries listed below

• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆93Updated last month
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆19Updated 2 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated 2 years ago
• abelsr / Fourier-Neural-Operator
  Implementation of Fourier Neural Operator using PyTorch
  ☆26Updated 2 months ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆204Updated last month
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• BaratiLab / OFormer
  ☆89Updated last year
• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆141Updated last year
• camlab-ethz / AI_Science_Engineering
  This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
  ☆319Updated 7 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆25Updated 7 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆48Updated 9 months 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…
  ☆26Updated last year
• LouisSerrano / coral
  ☆39Updated last year
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆167Updated 8 months ago
• YihaoHu / Neural_PDE
  ☆13Updated 3 years ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆69Updated last month
• liu-ziyuan-math / SPFNO
  ☆13Updated 2 years ago
• pdearena / pdearena
  ☆282Updated last year
• PredictiveIntelligenceLab / CausalPINNs
  ☆195Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆101Updated last year
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆147Updated 4 years ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆121Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆72Updated 7 months ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆110Updated 4 years ago
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆48Updated last year
• YaoGroup / MultistageNN
  Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
  ☆50Updated last year
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆82Updated 2 years ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆43Updated 3 years ago