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:
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Variational Fourier Features☆85Updated 3 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 9 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- ☆30Updated 7 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- ☆17Updated 11 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated 10 months ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 10 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- ☆98Updated 7 years ago