Jung's repositories

dezoomify-rs

Zoomable image downloader for Google Arts & Culture, Zoomify, IIIF, and others

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dezoomify

Dezoomify is a web application to download zoomable images from museum websites, image galleries, and map viewers. Many different zoomable image technologies are supported.

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Ryujinx

Experimental Nintendo Switch Emulator written in C#

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MessAuto

自动提取Mac平台的短信验证码

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fancyss-SSR-

fancyss is a project providing tools to across the GFW on asuswrt/merlin based router.

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fama-macbeth-1

Testing asset pricing models using the Fama-MacBeth methodology.

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100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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FamaFrench2015FF5

Replication of the 5 Fama-French factors as constructed in their 2015 paper.

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Econometrics-Course-Project

Project to test the hypothesised relationship that idiosyncratic skewness is negatively correlated with expected return through Fama-Macbeth Regression

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FamaFrench

Fama French 五因素模型适用性实证研究

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Fama-Macbeth-with-Newey-West-Standard-Error

A Python implementation of cross-sectional Fama Macbeth Regression with Newey-West Standard Error

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FamaFrenchTM

implemented FamaFrenchTM model, including calculating fama-french three factors

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Implementation-of-5-factor-Fama-French-Model

Implementation of 5-factor Fama French Model

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Fama-Macbeth-2

This Jupyter Notebook shows how to do Fama-Macbeth regressions for size portfolios divided into 20 quantiles.

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GRS-test-statistic-for-asset-pricing

GRS test statistic for asset pricing

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FamaFrench-1992-

FamaFrench(1992)论文复现;FamaFrench三因子模型;python

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Python-100-Days

Python - 100天从新手到大师

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Python-Core-50-Courses

Python语言基础50课

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famafrench_factor_regression

Compute fund regression against Fama-French factors

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FF5

一个基于**市场的Fama-French五因子实证研究

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mnist-classification

Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)

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Fama-French-3-Factor-Model-Implementation

Classical Fama French Three Factor Model.

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Fama-French-Portfolio-Construction

Constructing Fama French Three Factors 6 Portfolios for SMB and HML

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FamaFrench5Factors

Fama French 5 Factors model.

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Backtesting

Backtesting on 22 firm-characteristic risk factors ( R, python, cross-sectional linear regression, Fama-MacBeth)

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