JackCaster / Intro_to_PyMC3Links
Short introduction to Bayesian statistical modelling with PyMC3
☆18Updated 5 years ago
Alternatives and similar repositories for Intro_to_PyMC3
Users that are interested in Intro_to_PyMC3 are comparing it to the libraries listed below
Sorting:
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- ☆80Updated 9 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 7 years ago
- ☆64Updated 7 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 8 years ago
- Playing with various deep learning tools and network architectures☆70Updated 8 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- ☆90Updated 4 years ago
- Python solver for mixed-effects models☆97Updated 6 months ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Multilayer Feed-Forward Neural Network predictive model implementations with TensorFlow and scikit-learn☆45Updated 3 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- ☆159Updated 3 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 7 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆188Updated 6 years ago
- NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…☆31Updated 7 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 8 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Bayesian machine learning in Python☆76Updated 10 years ago