paulorauber / pgmLinks
Probabilistic graphical models in python
☆24Updated 6 years ago
Alternatives and similar repositories for pgm
Users that are interested in pgm are comparing it to the libraries listed below
Sorting:
- Dirichlet Process K-means☆48Updated last year
- Collection of probabilistic models and inference algorithms☆240Updated 5 years ago
- Variational Inference in Gaussian Mixture Model☆60Updated 5 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated 2 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Deep Markov Models☆133Updated 6 years ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆50Updated 9 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Bayesian Networks in Python☆149Updated 2 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆68Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- ☆11Updated 9 years ago
- ☆83Updated 8 years ago
- Bayesian nonparametric machine learning for Python☆233Updated 2 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Structured Inference Networks for Nonlinear State Space Models☆275Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- ☆64Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- ☆69Updated 7 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☆188Updated 11 years ago
- ☆29Updated 6 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆71Updated 6 years ago