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 ;)
A python tutorial on bayesian modeling techniques (PyMC3)
A Python package for causal inference in quasi-experimental settings
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
How to do Bayesian statistical modelling using numpy and PyMC3
A fast and easy to use, moddable, Python based Minecraft server!
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
#计算机科学#An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
Website: Data Umbrella & PyMC open source sessions
프로그래머를 위한 베이지안 with 파이썬
#计算机科学#Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
#学习与技能提升#Solutions to some of the problems in "Statistical Rethinking"
Distributed differentiable graph computation using PyTensor
Tutorials for the synthetic control method for causal inference using PyMC
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