zhd96 / ds-hdp-hmmLinks
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model
☆31Updated 5 years ago
Alternatives and similar repositories for ds-hdp-hmm
Users that are interested in ds-hdp-hmm are comparing it to the libraries listed below
Sorting:
- A non-parametric Bayesian approach to Hidden Markov Models☆87Updated 2 years ago
- Input Output Hidden Markov Model (IOHMM) in Python☆171Updated last year
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Streaming sparse Gaussian process approximations☆68Updated 3 years ago
- Variational Gaussian Process State-Space Models☆25Updated 9 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- ☆98Updated 7 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆90Updated last year
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆79Updated last year
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting☆52Updated 9 months ago
- Introduction to Gaussian Processes☆29Updated 7 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆19Updated 5 years ago
- Implementation of Deep Variational Bayes Filter☆12Updated 6 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆48Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Python implementation of the PR-SSM.☆55Updated 7 years ago
- ☆15Updated 3 years ago
- ☆11Updated 2 years ago
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆50Updated last month
- Variational Bayesian Model Selection for Mixture Distributions [Corduneanu&Bishop01][PRML 10.2.1]☆15Updated 5 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆237Updated last year
- Gaussian Mixture Regression☆195Updated last month