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emaynluap
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Probabilistic Programming and Bayesian Computing with PyMC
Forecasting 🇫🇷 elections with Bayesian statistics 🥳
A Python library to extract tabular data from PDFs
Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Rethinking'. Relies on pymc
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Statistical Rethinking (2nd ed.) with NumPyro
Codes to complement YouTube videos and blog posts on Medium.
Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)
A Python package for causal inference in quasi-experimental settings
A collection of Bayesian data analysis recipes using PyMC3
A system-level, binary package and environment manager running on all major operating systems and platforms.
Financial Markets Data Visualization using Matplotlib
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
My nikola-based blog (https://austinrochford.com)
A repository to hold all code/scripts made in my YouTube series.
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
Python library to extract tabular data from images and scanned PDFs
GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
Bayesian Data Analysis demos for Python