Alternatives and similar repositories for StiffNet-Benchmark:

Users that are interested in StiffNet-Benchmark are comparing it to the libraries listed below

• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆32Updated last year
• elizqian / operator-inference
  ☆10Updated last year
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• kpchamp / MultiscaleDiscovery
  ☆26Updated 6 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆26Updated 4 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
• lbl-camera / fvGP
  A software package for flexible HPC GPs
  ☆14Updated 2 months ago
• PredictiveIntelligenceLab / NOMAD
  ☆14Updated 5 months ago
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆22Updated 6 years ago
• cselab / LED
  ☆19Updated 2 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆28Updated 2 years ago
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 3 years ago
• kailaix / PhysGNN
  generative neural network trained with physics knowledge
  ☆14Updated 3 years ago
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆11Updated 2 years ago
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago
• keisuke198619 / GraphDMD
  Dynamic mode decomposition with dependent structure among observables (Graph DMD)
  ☆11Updated 5 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
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆26Updated 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 …
  ☆14Updated 2 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆11Updated 3 years ago
• KindXiaoming / NNPhD-github
  Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)
  ☆14Updated 3 years ago
• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆14Updated last year
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆33Updated last year
• n-takeishi / bayesiandmd
  Bayesian Dynamic Mode Decomposition (Bayesian DMD)
  ☆18Updated 3 years ago
• wesg52 / sindy_mio_paper
  Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization
  ☆13Updated 2 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆32Updated last year
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆25Updated last year
• dfloryan / neural-manifold-dynamics
  Reduced-order modelling using an atlas of charts
  ☆24Updated 2 years ago
• luckystarufo / multiscale_HiTS
  ☆71Updated 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