Alternatives and similar repositories for GP-for-pde-solving:

Users that are interested in GP-for-pde-solving are comparing it to the libraries listed below

• elizqian / operator-inference
  ☆10Updated last year
• IdahoLabResearch / BIhNNs
  The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …
  ☆14Updated 2 years ago
• mariodeflorio / AI-Lorenz
  ☆31Updated last year
• PredictiveIntelligenceLab / NOMAD
  ☆15Updated 6 months ago
• qianyingcao / Laplace-Neural-Operator
  ☆70Updated 6 months ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆26Updated 4 years ago
• payel79 / PEDS
  ☆32Updated 7 months ago
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆17Updated 9 months ago
• yzshi5 / OpFlow
  codes for "Universal Functional Regression with Neural Operator Flows"
  ☆13Updated 5 months ago
• mahindrautela / BOPINN
  Bayesian optimized physics-informed neural network for parameter estimation
  ☆24Updated 3 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆29Updated 8 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆19Updated 11 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆12Updated 7 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
• tianjuxue / AmorFEA
  ☆12Updated 3 years ago
• tum-pbs / Diffusion-based-Flow-Prediction
  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…
  ☆60Updated 3 months ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆32Updated 3 years ago
• Bostanabad-Research-Group / GP-Plus
  Python Library for Generalized Gaussian Process Modeling
  ☆21Updated 7 months ago
• amazon-science / probconserv
  Datasets and code for results presented in the ProbConserv paper
  ☆53Updated 8 months ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆21Updated last year
• ermongroup / Neural-PDE-Solver
  ☆15Updated 4 years ago
• mia-jinns / jinns
  Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs with JAX 📓 Check out our various notebooks to get started ⚠️ Mirror repos…
  ☆25Updated this week
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆63Updated last year
• lorenzrichter / PDE-backward-solver
  ☆20Updated 4 months ago
• CVC-Lab / RobustPINNs
  ☆20Updated last year
• qiauil / ConvDO
  Convolutional Differential Operators for Physics-based Deep Learning Study
  ☆24Updated 7 months ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆54Updated 2 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago