Presentation by Marko Vasiljevski & Raffaele Rainone - PyData London 2016
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Updated
May 18, 2016 - Jupyter Notebook
Presentation by Marko Vasiljevski & Raffaele Rainone - PyData London 2016
Contains data and source code for data anlysis performed for Rost, Rodrigo Albors et al., 2016
Code and explanations on modeling a collegiate basketball tournament using pymc
A python tutorial on bayesian modeling techniques (PyMC3)
Robust Linear Regression with PyMC3
experimental jupyter notebook plugin GUI for defining probabilistic models in PyMC3
Exploratory Analysis of Pipeline Accidents
Physiological signals recorded with a Microsoft Band 2 are processed and modeled with a basic bayesian model to infer exaltation and relaxation states of mind
프로그래머를 위한 베이지안 with 파이썬
My algorithms implementation to discover the main themes that pervade a large and otherwise unstructured collection of documents.
A comparison between Bayesian Neural Network and Classical Neural Network
Pi Day with PyLadies || How to Contribute to Open Source Projects & Networking @ Verizon Digital Media Services
Surat Python Users Group
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Solutions to some of the problems in "Statistical Rethinking"
An example plugin for the PyMine-Server plugin system
Software supporting M. Cavallaro, et al., 3′-5′ crosstalk contributes to transcriptional bursting. Genome Biol 22, 56 (2021). https://doi.org/10.1186/s13059-020-02227-5
How to do Bayesian statistical modelling using numpy and PyMC3
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