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ant-learn-pandas

pandas学习课程代码仓库

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

dsge_mod

A collection of Dynare models

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

elegantpaper

Elegant LaTeX Template for Working Papers

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

git_learning

greenpepper

高校教职坑

iterm2-color-schemes

Over 200 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio

latex-beamer-hokie

This is a LaTeX Beamer class style that uses the official VT color palette and provides example code for Beamer class presentations. Go Hokies!

learn-regex

Learn regex the easy way

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mit-econometrics

Economics 421 - Econometrics @ MIT

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

notebooks

Jupyter notebooks authored by Richard Evans

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 ;)

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python_learning

store python code

quantecon-notebooks-python

A Repository of Notebooks for the Python Lecture Site

quantecon.py

A community based Python library for quantitative economics

quantecon_nyu_2016

Quantitative Economics

resources

PyMC3 educational resources

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

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

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

statsmodels

Statsmodels: statistical modeling and econometrics in Python