zjost / bayesian-linear-regressionLinks
A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
☆83Updated 9 years ago
Alternatives and similar repositories for bayesian-linear-regression
Users that are interested in bayesian-linear-regression are comparing it to the libraries listed below
Sorting:
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Probabilistic Principal Component Analysis☆64Updated 8 years ago
- ☆64Updated 7 years ago
- ☆209Updated 7 years ago
- Probabilistic graphical models in python☆24Updated 6 years ago
- Continuous-time Hidden Markov Model☆103Updated last year
- Tensorflow implementation of deep quantile regression☆75Updated 3 years ago
- Collection of probabilistic models and inference algorithms☆240Updated 5 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆76Updated 8 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Deep Markov Models☆132Updated 6 years ago
- Markov Switching Models for Statsmodels☆24Updated 9 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆165Updated 10 years ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Updated 7 years ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.