SheffieldML / notebookLinks
Collection of jupyter notebooks for demonstrating software.
☆167Updated 2 years ago
Alternatives and similar repositories for notebook
Users that are interested in notebook are comparing it to the libraries listed below
Sorting:
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- ☆236Updated 8 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- ELFI - Engine for Likelihood-Free Inference☆276Updated 2 months ago
- ☆98Updated 7 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆185Updated 11 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- my blog☆268Updated 3 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 11 months ago
- Bayesian dessert for Lasagne☆84Updated 8 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- bayesian bootstrapping in python☆121Updated 3 years ago
- ☆154Updated 5 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆305Updated 10 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 3 years ago
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Scikit-learn compatible estimation of general graphical models☆246Updated last month
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- ABCpy package☆114Updated last year
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 11 months ago
- Variational Fourier Features☆86Updated 4 years ago