fonnesbeck / gp_tutorial_pydata
PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
☆15Updated 7 years ago
Alternatives and similar repositories for gp_tutorial_pydata:
Users that are interested in gp_tutorial_pydata are comparing it to the libraries listed below
- Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX☆15Updated 7 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- ☆42Updated 6 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆24Updated 6 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated last month
- Statistics lecture notes☆34Updated 8 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- Code for AutoGP☆26Updated 5 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Updated 2 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆19Updated this week
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 9 years ago
- Talks from Neil Lawrence☆54Updated last year
- ☆30Updated 4 years ago
- Dirichlet Process K-means☆47Updated 8 months ago
- Implementation of Hidden Markov Models in pymc3☆60Updated 8 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- ☆30Updated 7 years ago
- Tutorial on interpreting and understanding machine learning models☆68Updated 6 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Notebooks for the Course☆37Updated 7 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- Probabilistic graphical models in python☆23Updated 5 years ago