gpschool / gpss17Links
Gaussian Process and Uncertainty Quantification Summer School 2017
☆26Updated 2 years ago
Alternatives and similar repositories for gpss17
Users that are interested in gpss17 are comparing it to the libraries listed below
Sorting:
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- changepoint detection for Bayesian models☆21Updated 10 years ago
- Code for AutoGP☆27Updated 5 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 10 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Variational Fourier Features☆86Updated 4 years ago
- ☆30Updated 7 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Slides for the tutorial talk on Bayesian Machine Learning at PyCon 2017☆11Updated 8 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Deep Learning DTU summer school 2015☆22Updated 9 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago
- ☆11Updated last year
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago