SheffieldML / notebook
Collection of jupyter notebooks for demonstrating software.
☆165Updated last year
Alternatives and similar repositories for notebook:
Users that are interested in notebook are comparing it to the libraries listed below
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- ☆231Updated 7 years ago
- Python package for modular Bayesian optimization☆134Updated 4 years ago
- ELFI - Engine for Likelihood-Free Inference☆272Updated 7 months ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆181Updated 10 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆81Updated 7 months ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆214Updated 6 years ago
- Bayesian Optimization using GPflow☆270Updated 4 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- ☆98Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- bayesian bootstrapping in python☆121Updated 2 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- my blog☆267Updated 2 years ago
- Variational Fourier Features☆83Updated 3 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Just a little MCMC☆221Updated 7 months ago
- Parameterization Framework for parameterized model creation and handling.☆48Updated 3 weeks ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Sequential Monte Carlo working on top of pymc☆50Updated 5 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆334Updated 2 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Collapsed Variational Bayes☆68Updated 5 years ago
- ABCpy package☆113Updated 9 months ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 10 months ago