Alternatives and similar repositories for LPSDA:

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

• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated 11 months ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆37Updated 2 years 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…
  ☆68Updated 5 months ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆51Updated 2 years ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆106Updated 2 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆21Updated last month
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆17Updated 11 months ago
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆53Updated last month
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆12Updated 8 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆60Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆50Updated 2 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆63Updated 3 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆44Updated last year
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆24Updated 2 years ago
• neuraloperator / DiffusionOperators
  ☆13Updated last year
• neuraloperator / markov_neural_operator
  ☆32Updated 10 months ago
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆20Updated last year
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆40Updated last year
• neuraloperator / GANO
  ☆31Updated last year
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆104Updated 4 months ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 3 years ago
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆18Updated last year
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆28Updated 5 months ago
• Edward-Sun / TSM-PDE
  Code of ICML paper arxiv.org/abs/2302.08105
  ☆14Updated last year
• qiauil / ConvDO
  Convolutional Differential Operators for Physics-based Deep Learning Study
  ☆24Updated 8 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated 10 months ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆76Updated last week
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆23Updated 3 weeks ago
• lorenzrichter / PDE-backward-solver
  ☆21Updated 6 months ago