ajcr / em-explanation
Notebooks explaining the intuition behind the Expectation Maximisation algorithm
☆38Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for em-explanation
- Variational Fourier Features☆83Updated 3 years ago
- Information Theoretic Tools for Python☆90Updated 5 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Implementation of linear CorEx and temporal CorEx.☆36Updated 3 years ago
- ☆28Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- HOTTBOX: Higher Order Tensors ToolBOX. Tutorials☆38Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Implementation of Hidden Markov Models in pymc3☆59Updated 7 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- A Python convex optimization package using proximal splitting methods☆110Updated last year
- ☆97Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- My PhD Thesis☆21Updated 8 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆48Updated 8 years ago
- Library of common tools for machine learning research.☆40Updated 7 years ago
- ☆74Updated 2 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Gaussian Processes in Pytorch☆74Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 9 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Repository of models in Pyro☆29Updated 3 months ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 8 years ago
- ☆40Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago