rgiordan / vittlesLinks
"Variational inference tools to leverage estimator sensitivity."
☆16Updated 2 years ago
Alternatives and similar repositories for vittles
Users that are interested in vittles are comparing it to the libraries listed below
Sorting:
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- Repository of models in Pyro☆30Updated last year
- Bayesian Regression Models in Pyro☆72Updated last year
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Composable kernels for scikit-learn implemented in JAX.☆44Updated 4 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- ☆12Updated 3 years ago
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- Efficient, lightweight variational inference and approximation bounds☆44Updated last year
- A library for bayesian variable selection☆30Updated 7 months ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Generative Forests in Python☆35Updated 2 years ago
- Evaluation Framework for Probabilistic Programming Languages☆101Updated last year
- Exponential families for JAX☆73Updated 3 weeks ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Jax SSM Library☆49Updated 2 years ago
- Inference Combinators in JAX☆49Updated 3 months ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Variational inference for hierarchical dynamical systems☆48Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 10 months ago
- Implementation of Nonparametric Hamiltonian Monte Carlo☆12Updated 2 years ago