Alternatives and similar repositories for sindy_mio_paper

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

• kpchamp / MultiscaleDiscovery
  ☆29Updated 7 years ago
• SchatzLabGT / SymbolicRegression
  ☆11Updated 4 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• cselab / LED
  ☆21Updated 2 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated 10 months ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆29Updated 2 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 4 years ago
• PredictiveIntelligenceLab / LOCA
  ☆14Updated last year
• 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
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• datafold-dev / datafold
  Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…
  ☆30Updated 8 months ago
• DiffEqML / tutorials
  ☆10Updated 3 years ago
• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆12Updated 2 years ago
• elizqian / operator-inference
  ☆10Updated 2 years ago
• MunzirH / Applications-of-Physics-Informed-Machine-Learning
  🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…
  ☆11Updated 6 months ago
• IdahoLabResearch / BIhNNs
  The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …
  ☆15Updated 2 years ago
• DENG-MIT / StiffNet-Benchmark
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆12Updated 3 years ago
• n-takeishi / bayesiandmd
  Bayesian Dynamic Mode Decomposition (Bayesian DMD)
  ☆18Updated 3 years ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆24Updated 6 years ago
• NBoulle / RationalNets
  Code for the paper "Rational neural networks", NeurIPS 2020
  ☆28Updated 4 years ago
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 2 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 3 years ago
• mpimd-csc / RK4-SinDy
  ☆11Updated 3 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆43Updated 2 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆38Updated 2 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago