MerrieJiang

MerrieJiang's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.8k2.3k1159.9k

• iamadamdev/bypass-paywalls-chrome

  Bypass Paywalls web browser extension for Chrome and Firefox.

  Language:JavaScript48.3k6889983.5k

• RasaHQ/rasa

  💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  Language:Python18.9k3556.6k4.6k

• webclipper/web-clipper

  For Notion,OneNote,Bear,Yuque,Joplin。Clip anything to anywhere

  Language:TypeScript6.1k64502554

• christophM/interpretable-ml-book

  Book about interpretable machine learning

  Language:Jupyter Notebook4.8k1392051.1k

• MLNLP-World/DeepLearning-MuLi-Notes

  Notes about courses Dive into Deep Learning by Mu Li

  Language:Jupyter Notebook3.4k383548

• jm199504/Financial-Knowledge-Graphs

  小型金融知识图谱构建流程（neo4j / python / cypher / KG）

  Language:Jupyter Notebook2.7k639520

• hugo2046/QuantsPlaybook

  量化研究-券商金工研报复现

  Language:Jupyter Notebook2.7k805743

• secdr/research-method

  论文写作与资料分享

  2.4k532559

• mpquant/Ashare

  股票行情实时数据接口-A股,完全免费的沪深证券股票数据-**股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集，系统包括新浪腾讯双数据核心采集获取，自动故障切换，STOCK数据格式成DataFrame格式,可用来查询研究量化分析，股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量，更加专注于策略和模型的研究与实现。

  Language:Python1.7k2014423

• cadencando/SSV2RayTrojanClashSSR

  自由上网科学上网推荐建议，客户端自取

  1.2k14087

• tsingui/clover-efi

  分享整理一些黑苹果Clover驱动配置文件

  Language:Rich Text Format9505001.8k

• xieliaing/CausalInferenceIntro

  Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

  Language:Jupyter Notebook64285120

• Netflix-Skunkworks/riskquant

  Language:Python6101111161

• JoinQuant/jqfactor_analyzer

  聚宽单因子分析工具

  Language:Python5002411183

• BoogalooLi/fuck-paywall

  去掉华尔街日报和经济学人的付费墙。remove the paywalls of The Wallstreet Journal & The Economist.

  Language:JavaScript40510231

• hungchun-lin/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.

  Language:Jupyter Notebook222215102

• shokru/mlfactor.github.io

  Website dedicated to a book on machine learning for factor investing

  Language:HTML208192998

• lagerfeuer/cryptocompare

  Python3 Wrapper for the CryptoCompare API

  Language:Python182103874

• kavinwow100/Deeplearning-and-Coding

  学习深度学习不如边写代码边学习，实际操作一遍才能理解数据的变换过程，参数的训练过程，这里整合了B站的jupter代码，可以结合着B站的视频边看边练，希望能对大家有帮助。

  Language:Jupyter Notebook1244027

• Jianeng/Deep-Learning-in-Asset-Pricing

  https://arxiv.org/abs/1805.01104

  Language:Python1079146

• TruthHun/intertemporal-arbitrage

  跨期套利(期货)，期货的跨期套利策略

  Language:Python505022

• lamres/pairs_trading_cryptocurrencies_strategy_catalyst

  Pairs trading strategy example based on Catalyst

  Language:Jupyter Notebook486027

• aphenriques/stochastic-calculus-for-finance-solutions

  Solutions for the exercise problems of Steven E. Shreve's Stochastic Calculus for Finance

  Language:Jupyter Notebook33306

• nkuguanrui/FamaFrenchThreeFacorModel

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

  Language:Jupyter Notebook24106

• VincentGaoHJ/Fama-French-3-Factor-Model

  Applying the Fama Three-factor Model to the Chinese stock market. Verifying the validity of the model. The operation of the data is mainly based on pandas.

  Language:Python18209

• GZWgssmart/LoanCalculator

  使用Java编写的贷款计算小程序，支持等额本金和等额本息方式，可列出详细的还款计划

  Language:Java163216

• Sapphirine/Real-time-Risk-Management-System

  Finance Group

  Language:JavaScript141308

• nilayarya/Stock-Price-Prediction-using-Machine-Learning

  In this Project I have used various supervised learning-based models to predict the stock price of Ashokley using correlated assets and its own historical data. The model selection notebook can also be used as a model to select the best ML model for a particular asset.

  Language:Jupyter Notebook1

• webclinic017/UBIQUANT-2021

  Language:Python100