Alternatives and similar repositories for npode

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

• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆24Updated 6 years ago
• kpchamp / MultiscaleDiscovery
  ☆29Updated 7 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆12Updated 2 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆29Updated 4 months ago
• IlyaOrson / Control-NeuralODE
  Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
  ☆16Updated last year
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• ManshaP / KoopmanNets
  project for my essay on how to use neural networks to linearise nonlinear dynamical systems
  ☆9Updated 4 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆45Updated 4 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆74Updated last month
• trappmartin / DeepStructuredMixtures
  Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)
  ☆11Updated 3 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated 2 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 3 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated 11 months ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆76Updated 3 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• RajDandekar / MSML21_BayesianNODE
  ☆38Updated 3 years ago
• ae-foster / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆12Updated 5 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆57Updated 7 months ago
• paulxshen / neural-ode-cartpole
  ☆24Updated 4 years ago
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆24Updated 5 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆46Updated 3 years ago
• gatsby-sahani / gp-sde
  ☆14Updated last year
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated last year