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-python-

addaandcooper

Code to solve exercises from Adda and Cooper's "Dynamic Economics" book

asp

PHBS Applied Stochastic Processes Course Website

barra_cne6

Barra CNE6 因子构建

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

chinese-erj

《经济研究》杂志 LaTeX 论文模板 - LaTeX Template for Economic Research Journal

cplusplus_tutorials

My personal projects for learning C++, following lessons from the book "Introduction to Programming with C++" by Y. Daniel Liang

design-resource

A list of design resources.

everydaysport

从今天开始做一个健康的程序员。

githubtest

A test repository for studdents to learn github features like pull-requests and branch, etc

heston-normal-and-rough

European and Forward-start option pricing and implied volatility in the Heston and rough Heston model

ipca

Instrumented Principal Components Analysis

learning-nlp

nlp in action

lecture-source-py

Source files for "Lectures in Quantitative Economics" -- Python version

me414

ME414 Introduction to Data Science and Big Data Analytics 2017

multifactor2_barra

Hi! We are one of the learning teams of QTA from PHBS. In this repository, we will build a multifactor model with Barra. Let's study together~

networkcasc

Repeat Simulation and Empirical Results in "A Dynamic Network Perspective on the Latent Group Structure of Cryptocurrencies"

pdf2word

60行代码实现多线程PDF转Word

pyfeng

Python Financial ENGineering (PyFENG package in PyPI.org)

qtatraining2019

北京大学量化交易协会2019级培训课件及代码

quantecon-notebooks-python

A Repository of Notebooks for the Python Lecture Site

quanterback

2021 Asset Allocation Program by QTA of PHBS

rough_bergomi

A Python implementation of the rough Bergomi model.

start

stock-price-prediction-using-gan

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

talking-head-anime-demo

Demo for the "Talking Head Anime from a Single Image."

the-swift-programming-language-in-chinese

中文版 Apple 官方 Swift 教程《The Swift Programming Language》