Alternatives and similar repositories for kairos

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

• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆24Updated last year
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆50Updated 2 years ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆65Updated last year
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆52Updated 2 years ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆24Updated this week
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆26Updated 2 months ago
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated last year
• neuraloperator / GANO
  ☆33Updated 2 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆61Updated 3 years ago
• neuraloperator / DiffusionOperators
  ☆13Updated last year
• neuraloperator / markov_neural_operator
  ☆33Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆45Updated 2 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆55Updated 11 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆14Updated 10 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 11 months ago
• yuan-yin / LEADS
  Learning Dynamical Systems that Generalize Across Environments
  ☆20Updated 3 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 9 months ago
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆18Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆53Updated 3 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆21Updated last year
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆25Updated last year
• computational-imaging / GraphPDE
  ☆50Updated 2 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆44Updated last year
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆77Updated last month
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆38Updated 2 years ago
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated last year
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆39Updated 3 years ago
• AI4Science-WestlakeU / le-pde-uq
  [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…
  ☆16Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆49Updated 11 months ago
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆17Updated last year