Alternatives and similar repositories for BayesianDifferentiableProgramming:

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

• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆22Updated 6 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆28Updated 2 years ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• kpchamp / MultiscaleDiscovery
  ☆25Updated 6 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆54Updated 2 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆32Updated last year
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆32Updated last year
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆22Updated 3 years ago
• elizqian / mfgsa
  multifidelity global sensitivity analysis
  ☆16Updated 2 years ago
• is-centre / gptips2f-matlab
  GPTIPS2F: Symbolic Regression toolbox for MATLAB evolved
  ☆10Updated 2 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆62Updated 4 years ago
• sethhirsh / BayesianSindy
  ☆12Updated 2 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆61Updated 4 years ago
• stefaniafresca / DL-ROM
  Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
  ☆15Updated last year
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆47Updated 4 years ago
• loiseaujc / SINDy
  ☆41Updated 6 years ago
• duqbo / optdmd
  A MATLAB package for computing the optimized dynamic mode decomposition (DMD)
  ☆18Updated 6 years ago
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆38Updated 3 weeks ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆40Updated 4 years ago
• william-redman / Koopman-Neural-Network-Training
  Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…
  ☆19Updated last year
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆25Updated 4 years ago
• DENG-MIT / Stiff-PINN
  Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
  ☆55Updated 2 years ago
• DENG-MIT / StiffNet-Benchmark
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆11Updated 3 years ago
• zhbai / cDMDc
  Compressive dynamic mode decomposition with control for compressive system identification
  ☆38Updated 7 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆25Updated 3 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• pierremtb / UQPINNs-TF2.0
  TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…
  ☆19Updated last year
• 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