GPSSM
A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]
PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]
Machine Learning and Artificial Intelligence for Medicine.
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
Implementation of papers in 100 lines of code.
list of papers, code, and other resources
List of papers, code and experiments using deep learning for time series forecasting
Model, visualizations, and animation of the Lorenz system
PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
Gaussian Process-based Deep State-Space Model
Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Journal on Mathematics of Data Science (SIMODS)
Structured state space sequence models
PyDA: A hands-on introduction to dynamical data assimilation with Python
(FTML 2021) Official implementation of Dynamical VAEs