Alternatives and similar repositories for stat-fem:

Users that are interested in stat-fem are comparing it to the libraries listed below

• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆52Updated 3 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 2 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆40Updated 4 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• tum-pbs / dl-surrogates
  ☆31Updated 2 years ago
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆53Updated 3 weeks ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆99Updated 3 years 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 2 years ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆92Updated last year
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆51Updated last year
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆55Updated 4 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆20Updated last month
• dynamicslab / hydrogym
  An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
  ☆61Updated last week
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 4 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆28Updated 2 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆37Updated last year
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• arpastrana / jax_fdm
  Auto-differentiable and hardware-accelerated force density method
  ☆88Updated 2 months ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆123Updated 4 months ago
• PredictiveScienceLab / advanced-scientific-machine-learning
  ME 697 - Advanced Scientific Machine Learning
  ☆16Updated this week
• 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
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆25Updated last year
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆33Updated last year
• pnnl / slim
  Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
  ☆18Updated last year
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆32Updated 2 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 4 years ago
• fireshape / fireshape
  A shape optimisation toolbox built on the Firedrake finite element library.
  ☆27Updated 3 weeks ago