minying1999 Goto Github PK

-christmas-tree

A simple Christmas tree with basic codes

bilibili-evolved

强大的哔哩哔哩增强脚本

bingdundun_py

冰墩墩python

bingdwendwen

使用python绘制冰墩墩

boston_housing

机器学习项目-波士顿房价预测

chatting-robot

chinese-std-gb-t-7714-related-csl

GB/T 7714相关的csl以及Zotero使用技巧及教程。

cleanqltasks

清理青龙面板的重复脚本

crawlerproject

爬虫项目：链家网（普通/scrapy）、虎扑、维基百科、百度地图api、房天下（分布式爬虫）、微信公众号（代理池爬取）

deeplearningexamples

深度学习中的一些小Demo。

dragon_list_with_crawler_about_eastmoney

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

final-exam-of-python

financial-models-numerical-methods

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

github-slideshow

A robot powered training repository :robot:

hayashi

Answers to review questions and analytical exercises of the Econometrics (Hayashi, 2000) textbook.

hello-world

A rookie who entering a new world

legado

阅读3.0, 阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。

machine-learning-algorithm

:star2:【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision Tree 决策树 | Random Forest 随机森林 | DBDT | GDA 高斯判别分析 | PCA 主成分分析 | LDA 线性判别分析

machine-learning-in-action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

mf796-and-deep-learning-asset-pricing

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。

ml-trading

nextjs-notion-starter-kit

Deploy your own Notion-powered website in minutes with Next.js and Vercel.

option-pricing-theory

pin-vpinstimation

A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.

python-code

python-tushare-api-shanghai-hong-kong-stock-connect

quantecon.py

A community based Python library for quantitative economics

quantfin