Alternatives and similar repositories for rkn_share

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

• MusDev7 / wtftp-model
  The repository of the paper "Flight trajectory prediction enabled by time-frequency wavelet transform"
  ☆47Updated 2 years ago
• 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
• tianchenji / Multimodal-SVAE
  Multimodal Supervised Variational Autoencoder
  ☆17Updated 4 years ago
• LCAS / RKN
  ☆46Updated 2 years ago
• KalmanNet / Latent_KalmanNet_TSP
  ☆17Updated 2 years ago
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆79Updated last year
• KalmanNet / KalmanNet_TSP
  code for KalmanNet
  ☆358Updated last year
• boschresearch / Continuous-Recurrent-Units
  ☆68Updated 2 years ago
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆89Updated last year
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆52Updated 3 years ago
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆47Updated last year
• zshicode / Deep-Learning-Based-State-Estimation
  Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
  ☆190Updated 3 years ago
• mlpotter / DeepKoopmanLusch
  PyTorch Implementation of Lusch et al DeepKoopman
  ☆14Updated 2 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆22Updated 6 years ago
• GitZH-Chen / Awesome-Riemannian-Deep-Learning
  This repo contains papers, books, tutorials and resources on Riemannian deep learning.
  ☆27Updated last month
• alwaysbyx / Time-series-prediction-using-Neural-ODE-and-Neural-Flow
  Comparison for time series prediction using Neural-ODEs and Neural-Flows
  ☆16Updated 2 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• JonathanCrabbe / FourierDiffusion
  This repository implements time series diffusion in the frequency domain.
  ☆51Updated 6 months ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆47Updated 5 years ago
• Panshark / PIRL-WIN
  Source code for Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning
  ☆13Updated last year
• liouvill / NeuralEKF
  Neural Extended Kalman Filters
  ☆14Updated 2 years ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆49Updated 3 weeks ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆31Updated last year
• ashysheya / ODE-RNN
  ☆26Updated 5 years ago
• shalijiang / neural-process
  conditional neural process: tranlation of the tensorflow code to Pytorch
  ☆17Updated 5 years ago
• nzl5116190 / Basisformer
  This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…
  ☆96Updated 10 months ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆42Updated 6 years ago
• is0383kk / Pytorch_VAE-GMM
  Implementation of a model to make VAE and GMM train from each other
  ☆27Updated 3 years ago