mattjj / pylds
some tools for gaussian linear dynamical systems
☆89Updated 6 years ago
Alternatives and similar repositories for pylds:
Users that are interested in pylds are comparing it to the libraries listed below
- ☆95Updated 6 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- ☆155Updated 5 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- autoregressive plugin☆27Updated 2 years ago
- Time-Contrastive Learning☆65Updated 6 years ago
- Recurrent Switching Linear Dynamical Systems☆109Updated 2 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 3 months ago
- A non-parametric Bayesian approach to Hidden Markov Models☆87Updated last year
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 7 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Information Theoretic Tools for Python☆92Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Variational Bayes linear and logistic regression☆34Updated 5 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆126Updated 4 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago