catniplab / tree_structured_rsldsLinks
Tree-structured recurrent switching linear dynamical systems
☆38Updated 5 years ago
Alternatives and similar repositories for tree_structured_rslds
Users that are interested in tree_structured_rslds are comparing it to the libraries listed below
Sorting:
- ☆99Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Recurrent Switching Linear Dynamical Systems☆116Updated 2 years ago
- Dynamical Components Analysis☆33Updated 5 months ago
- ☆31Updated 5 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆63Updated last year
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- ☆15Updated 2 years ago
- Python library for Recurrent Gaussian Processes☆22Updated 8 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- My PhD Thesis☆22Updated 9 years ago
- ☆12Updated 4 years ago
- ☆14Updated 3 years ago
- Python implementation of the PR-SSM.☆58Updated 7 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆24Updated 5 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Time-Contrastive Learning☆68Updated 7 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 8 years ago
- Recurrent state-space models for decision making☆30Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated last week
- neuronal message passing☆19Updated 7 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆85Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago