Alternatives and similar repositories for advanced-scientific-machine-learning

Users that are interested in advanced-scientific-machine-learning are comparing it to the libraries listed below

• PredictiveScienceLab / data-analytics-se
  ME 539 - Introduction to Scientific Machine Learning
  ☆122Updated last week
• CUQI-DTU / CUQIpy
  ☆51Updated this week
• PurdueMechanicalEngineering / me-239-intro-to-data-science
  Introduction to Data Science for Mechanical Engineers
  ☆25Updated 3 weeks ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• pmocz / advectiondiffusion-jax
  Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff
  ☆12Updated 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
  ☆26Updated 3 years ago
• benmoseley / intro-to-jax-workshop
  Introduction to JAX Workshop @ ETH Zurich, 25 June 2024
  ☆38Updated 7 months ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆81Updated 3 years ago
• b03901165Shih / 2D_FPE_Solver
  Two Dimensional Fokker-Planck Solver using Matlab
  ☆19Updated 6 years ago
• SCIInstitute / UncertainSCI
  ☆11Updated last year
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆58Updated 4 years ago
• aquaULB / solving_pde_mooc
  ☆74Updated last month
• cpraveen / chebpy
  Spectral Methods in Python
  ☆60Updated 6 months ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆51Updated 3 weeks ago
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆75Updated 3 weeks ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆59Updated 3 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆72Updated last year
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆30Updated last year
• LLNL / LaSDI
  ☆54Updated 2 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆82Updated 2 years ago
• johnaparker / fplanck
  Numerically solve the Fokker-Planck equation in N dimensions
  ☆95Updated last month
• PKU-CMEGroup / InverseProblems.jl
  ☆114Updated last week
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆149Updated 3 weeks ago
• jbramburger / Data-Science-Methods
  This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
  ☆53Updated 4 years ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆114Updated 2 weeks ago
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 6 years ago
• williamgilpin / cphy
  Class materials for computational physics course
  ☆160Updated this week
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆40Updated last year