Alternatives and similar repositories for rkn_share

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

• kokikwbt / deep-kalman-filter
  ☆15Updated 3 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆95Updated 3 years ago
• tianchenji / Multimodal-SVAE
  Multimodal Supervised Variational Autoencoder
  ☆17Updated 4 years ago
• MusDev7 / wtftp-model
  The repository of the paper "Flight trajectory prediction enabled by time-frequency wavelet transform"
  ☆47Updated last year
• mlpotter / DeepKoopmanLusch
  PyTorch Implementation of Lusch et al DeepKoopman
  ☆13Updated 2 years ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆47Updated 5 years ago
• LCAS / RKN
  ☆46Updated 2 years ago
• pasteurlabs / unreasonable_effective_der
  Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
  ☆27Updated 2 years ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆42Updated 5 months ago
• ismailnejjar / DARE-GRAM
  [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
  ☆54Updated 2 years ago
• HanshuYAN / TisODE
  On Robustness of Neural Ordinary Differential Equations
  ☆11Updated 3 years ago
• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆9Updated 2 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆48Updated 3 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 4 years ago
• sorooshafiee / WKF
  ☆15Updated 6 years ago
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆88Updated 11 months ago
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆19Updated 2 years ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆29Updated 9 months ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• ghliu / snopt
  Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
  ☆52Updated 3 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆40Updated 6 years ago
• d-biswa / Symplectic-ODENet
  ☆15Updated 4 years ago
• teddykoker / evidential-learning-pytorch
  Evidential Deep Learning in PyTorch
  ☆61Updated 2 years ago
• JasonMa2016 / LDS
  Official repository for paper "Likelihood-Based Diverse Sampling for Trajectory Forecasting" (ICCV 2021)
  ☆22Updated 3 years ago
• MichauGabriel / DeSpaWN
  Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)
  ☆46Updated 3 years ago
• liouvill / NeuralEKF
  Neural Extended Kalman Filters
  ☆14Updated last year
• qu-gg / torch-neural-ssm
  Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
  ☆48Updated 6 months ago
• boschresearch / Continuous-Recurrent-Units
  ☆67Updated last year
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆79Updated 11 months ago