some tools for gaussian linear dynamical systems
MIT License
Additional linear models including instrumental variable and panel data models that are missing f...
Bayesian inference in HSMMs and HMMs
Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, ...
Interpretable neural spike train models with fully-Bayesian inference algorithms
Random feature latent variable models in Python
A Linear Gaussian State Space Model (LGSSM) for pytorch, also known as a Linear Dynamical System ...
Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-...
Topic modeling with latent Dirichlet allocation using Gibbs sampling
Recurrent Switching Linear Dynamical Systems
Implementation of the Gaussian Process Autoregressive Regression Model
Python framework for inference in Hawkes processes.
Weighted least squares meshless interpolator and differentiator.
UNKNOWN
Basic utilities for Bayesian inference