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
• MusDev7 / wtftp-model
  The repository of the paper "Flight trajectory prediction enabled by time-frequency wavelet transform"
  ☆49Updated 2 years ago
• KalmanNet / Latent_KalmanNet_TSP
  ☆17Updated 2 years ago
• tianchenji / Multimodal-SVAE
  Multimodal Supervised Variational Autoencoder
  ☆17Updated 4 years ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆98Updated 3 years ago
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆78Updated last year
• 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
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆90Updated last year
• mlpotter / DeepKoopmanLusch
  PyTorch Implementation of Lusch et al DeepKoopman
  ☆14Updated 2 years ago
• KalmanNet / KalmanNet_TSP
  code for KalmanNet
  ☆368Updated last year
• ismailnejjar / DARE-GRAM
  [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
  ☆57Updated 2 years ago
• pasteurlabs / unreasonable_effective_der
  Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
  ☆29Updated 2 years ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆48Updated 5 years ago
• zshicode / Deep-Learning-Based-State-Estimation
  Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
  ☆196Updated 3 years ago
• geonchoi / Split-KalmanNet
  ☆23Updated 2 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆52Updated 3 years ago
• trappmartin / DeepStructuredMixtures
  Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)
  ☆11Updated 3 years ago
• 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
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆95Updated last month
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆56Updated 2 months ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 years ago
• ido90 / UsingKalmanFilterTheRightWay
  ☆25Updated 2 years ago
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• yonatandn / Uncertainty-Quantification-in-Model-Based-DL
  ☆12Updated 10 months ago
• OmkarThawakar / Forecasting-Trajectory-of-Double-Pendulum
  recurrent neural network based project
  ☆27Updated 6 years ago
• yriyazi / Koopman-Operator-and-Deep-Neural-Networks-ISAV2023
  In this work, we present a novel approach that combines the power of Koopman operators and deep neural networks to generate a linear rep…
  ☆10Updated last year
• LucasBoTang / GradNorm
  PyTorch implementation of the GradNorm
  ☆110Updated last year
• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆10Updated last month
• 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