fonnesbeck / gp_tutorial_pydataLinks
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
Sorting:
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Talks from Neil Lawrence☆54Updated last year
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- ☆64Updated 7 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Notebooks for the Course☆37Updated 7 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 8 years ago
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Updated 8 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- ☆80Updated 8 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- ☆30Updated 7 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated 5 months ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆127Updated 5 years ago
- Bayesian statistics seminars☆30Updated 8 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆25Updated 6 years ago
- Finding the best parameters for any algorithm☆42Updated 7 years ago
- The 2020 Version of the Deep Learning Course☆8Updated 5 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 8 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Statistics lecture notes☆34Updated 9 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago