lingyi-lk Goto Github PK
Name: lingyily
Type: User
Name: lingyily
Type: User
结巴中文分词
Jupyter metapackage for installation, docs and chat
this is a learning test
从新浪财经、每经网、金融界、**证券网、证券时报网上,爬取上市公司(个股)的历史新闻文本数据进行文本分析、提取特征集,然后利用SVM、随机森林等分类器进行训练,最后对实施抓取的新闻数据进行分类预测
Scikit-learn like Labeled-LDA
code in the course of machine learning techniques/机器学习技法课程的代码
First Attempt at Markowitz portfolio optimization
Markowitz portfolio optimization on synthetic and real stocks
简单的流行病学模型实现,包括 SI、SIS、SIR、SEIR 等模型
Financial Risk Management for SBA 504 Loans
Natural Language Processing Papers
Nowcasting
Collection of NSFW images URLs for the purposes of training an NSFW Image Classifier
Online Portfolio Selection toolbox
An Open-Source Package for Knowledge Embedding (KE)
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
python版本:高准确度中文分词工具,简单易用,跟现有开源工具相比大幅提高了分词的准确率。
Portfolio Construction Functions under the Basic Mean_Variance Model, the Factor Model and the Black_Litterman Model.
Fast and accurate cross-correlation over arbitrary time lags. Moved to:
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Open source time series library for Python
Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python
command line dictionary(命令行词典)
《利用Python进行数据分析·第2版》
Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)
this is python test project !
Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle
QUANTAXIS 股票/期货/自定义市场 数据/回测/模拟/交易/可视化 纯本地一站式解决方案
It's an experience in a quantitative contest. We are a team of three members and got first in the Round 3 period in both PnL and Sharpe Ratio. First, the virtual trading system uses Google's gRPC framework. So we wrote scripts to send commands such as orders to this system. Second, we conducted scripts to request virtual market data from this system. Third, we built a data processing class to deal with raw data and make it feasible and standard. Fourth, we wrote separately three high frequency models: RBreaker, Timeselecting( cf my first internship), Dual Thrust strategy. Fifth, we wrote a python file to help control the risk in our tradings.
This project implements three deep reinforcement learning algorithms, including PG (for finance), DDPG and PPO, on portfolio management
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.