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.
  ☆96Updated 3 years ago
• LCAS / RKN
  ☆46Updated 2 years ago
• MusDev7 / wtftp-model
  The repository of the paper "Flight trajectory prediction enabled by time-frequency wavelet transform"
  ☆48Updated last year
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆79Updated last year
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆47Updated 5 years ago
• tianchenji / Multimodal-SVAE
  Multimodal Supervised Variational Autoencoder
  ☆17Updated 4 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆51Updated 3 years ago
• mlpotter / DeepKoopmanLusch
  PyTorch Implementation of Lusch et al DeepKoopman
  ☆13Updated 2 years ago
• KalmanNet / Latent_KalmanNet_TSP
  ☆16Updated 2 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆85Updated last month
• KalmanNet / KalmanNet_TSP
  code for KalmanNet
  ☆355Updated last year
• zshicode / Deep-Learning-Based-State-Estimation
  Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
  ☆187Updated 3 years ago
• LucasBoTang / GradNorm
  PyTorch implementation of the GradNorm
  ☆105Updated 11 months ago
• sorooshafiee / WKF
  ☆15Updated 6 years ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆31Updated 11 months ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆41Updated 6 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆16Updated 3 years ago
• boschresearch / Continuous-Recurrent-Units
  ☆68Updated 2 years ago
• ido90 / UsingKalmanFilterTheRightWay
  ☆23Updated last year
• AKuzina / BooVAE
  Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1…
  ☆14Updated 3 years ago
• trappmartin / DeepStructuredMixtures
  Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)
  ☆11Updated 3 years ago
• pasteurlabs / unreasonable_effective_der
  Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
  ☆27Updated 2 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 4 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• liouvill / NeuralEKF
  Neural Extended Kalman Filters
  ☆14Updated 2 years ago
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆47Updated last year
• d-biswa / Symplectic-ODENet
  ☆15Updated 4 years ago
• GalaxyFox / DS-GA-3001-Deep_Kalman_Filter
  This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf
  ☆19Updated 5 years ago