Roth-Lab / pgsm
☆12Updated this week
Alternatives and similar repositories for pgsm
Users that are interested in pgsm are comparing it to the libraries listed below
Sorting:
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Updated 9 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- ☆11Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- The Union of Intersections Framework in Python☆14Updated this week
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- ☆11Updated 8 years ago
- ☆14Updated 5 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated last year
- Functional matrix factorization via Bayesian tensor filtering☆13Updated 2 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 6 years ago
- ☆25Updated 4 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Updated 10 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆24Updated 3 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- Code for AutoGP☆26Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago