citiususc / voila
Variational Inference for Langevin Equations
☆21Updated 7 years ago
Alternatives and similar repositories for voila:
Users that are interested in voila are comparing it to the libraries listed below
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Code for AutoGP☆26Updated 5 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 3 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 9 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- ☆11Updated 8 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 10 months ago
- Open Data Science☆33Updated 2 months ago
- Cumulative Distribution Transform☆16Updated 7 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- ☆31Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆11Updated last year
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆36Updated 2 years ago
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆51Updated 11 years ago
- Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27,…☆13Updated 6 years ago
- Nonlinear time series analysis in R☆35Updated 4 months ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- ☆30Updated 2 years ago
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- Flexible mechanistic epidemiological model to learn and predict the spread of COVID-19☆21Updated last year
- Gaussian process regression code.☆24Updated 10 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago