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bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayespy

Bayesian Python: Bayesian inference tools for Python

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalinference

Causal Inference in Python

cause

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

css610

Exercises for GMU's CSS 610: Computational Analysis of Social Complexity

dataset-examples

Samples for users of the Yelp Academic Dataset

deepiv

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

ggdag

:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)

grf

Generalized Random Forests

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

nn-from-scratch

Implementing a Neural Network from Scratch

notes

Course notes

notes-on-causal-inference

Some notes on Causal Inference, with examples in python

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pscore_match

A Python package for propensity score matching

py

Repository to store sample python programs for python learning

pymatch

pymc

PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)

pytrends

Pseudo API for Google Trends

q-learning

Q-learning algorithm for GSP auction.

scipy2014_tutorial

Tutorial: Bayesian Statistical Analysis in Python

statistical-rethinking-with-python-and-pymc3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

synth

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

vandith.github.io