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 ;)

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Python for Finance (O'Reilly)

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

A generic evolutionary game theory simulation library