gpschool / gpss17Links
Gaussian Process and Uncertainty Quantification Summer School 2017
☆26Updated 3 years ago
Alternatives and similar repositories for gpss17
Users that are interested in gpss17 are comparing it to the libraries listed below
Sorting:
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆165Updated 10 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- ☆99Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆126Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 8 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Variational Fourier Features☆87Updated 4 years ago
- ☆30Updated 8 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Unsupervised learning and generative models in python/pytorch.☆117Updated 3 years ago
- my blog☆269Updated 3 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆78Updated 9 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 10 years ago
- changepoint detection for Bayesian models☆20Updated 11 years ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 8 years ago
- Bayesian machine learning in Python☆76Updated 10 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago