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xmur's Projects

ai_quant_trade icon ai_quant_trade

股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

alphalens icon alphalens

Performance analysis of predictive (alpha) stock factors

apm_exercises icon apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

arules icon arules

Mining Association Rules and Frequent Itemsets with R

awesome-c-cn icon awesome-c-cn

C 资源大全中文版,包括了:构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。

awesome-cpp-cn icon awesome-cpp-cn

C++ 资源大全中文版,标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等

awesome-mongodb icon awesome-mongodb

:leaves: A curated list of awesome MongoDB resources, libraries, tools and applications

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-quant-1 icon awesome-quant-1

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-r icon awesome-r

A curated list of awesome R frameworks, packages and software.

backtesting-strategies icon backtesting-strategies

Book on backtesting strategies in R using blotter, quantstrat, FinancialInstruments, TTR packages

bigdatarstrata2017 icon bigdatarstrata2017

All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.

blotter icon blotter

Read-only mirror of "blotter" from r-forge SVN.

broom icon broom

Convert statistical analysis objects from R into tidy format

caret icon caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

chipseeker icon chipseeker

This is a read-only mirror of the Bioconductor SVN repository. Package Homepage: http://bioconductor.org/packages/devel/bioc/html/ChIPseeker.html Contributions: https://github.com/GuangchuangYu/ChIPseeker. Bug Reports: https://support.bioconductor.org/p/new/post/?tag_val=ChIPseeker or https://github.com/GuangchuangYu/ChIPseeker/issues.

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