Alternatives and similar repositories for UncertainSCI

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

• PredictiveScienceLab / advanced-scientific-machine-learning
  ME 697 - Advanced Scientific Machine Learning
  ☆25Updated 7 months ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆83Updated last week
• mendible / wave_decomposition
  ☆19Updated 5 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
  ☆26Updated 3 years ago
• fernexda / cnm
  ☆19Updated 5 years ago
• aquaULB / solving_pde_mooc
  ☆74Updated 2 months ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆98Updated this week
• PurdueMechanicalEngineering / me-239-intro-to-data-science
  Introduction to Data Science for Mechanical Engineers
  ☆25Updated last month
• CUQI-DTU / CUQIpy
  ☆51Updated last week
• benmoseley / intro-to-jax-workshop
  Introduction to JAX Workshop @ ETH Zurich, 25 June 2024
  ☆39Updated 7 months ago
• jbramburger / Data-Science-Methods
  This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
  ☆53Updated 4 years ago
• mia-jinns / jinns
  Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…
  ☆42Updated last week
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆27Updated 5 years ago
• meg-simula / mri2fem-lectures
  Lecture series on From magnetic resonance imaging to finite element simulation
  ☆18Updated 3 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆25Updated 9 months ago
• fsahli / EikonalNet
  ☆20Updated 5 years ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆55Updated 2 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆61Updated 8 years ago
• mbarzegary / educational-bayesian
  Educational materials to learn how to employ Bayesian optimization techniques for parameter estimation of computational and statistical m…
  ☆14Updated 2 years ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated 2 years ago
• GRaynaud / ModalPINN_Python_code
  Publication of Python code used to train ModalPINN
  ☆11Updated 3 years ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆24Updated 5 years ago
• bsciolla / gaussian-random-fields
  Generator of 2D gaussian random fields
  ☆52Updated 3 years ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆114Updated 3 weeks ago
• stur86 / tvregdiff
  Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
  ☆73Updated 5 years ago
• dfloryan / neural-manifold-dynamics
  Reduced-order modelling using an atlas of charts
  ☆27Updated 3 years ago
• PredictiveScienceLab / data-analytics-se
  ME 539 - Introduction to Scientific Machine Learning
  ☆122Updated last week