Roth-Lab / pgsmLinks
☆12Updated 2 months ago
Alternatives and similar repositories for pgsm
Users that are interested in pgsm are comparing it to the libraries listed below
Sorting:
- ☆12Updated 2 years ago
- ☆11Updated 9 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- Dirichlet Process K-means☆48Updated last year
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Updated 9 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- ☆14Updated 5 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 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
- Deep Probabilistic Programming Language☆19Updated last year
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- PyMC3-like Interface for Pyro☆37Updated 5 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods☆12Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago