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clxdsjyx's Projects

surpriver icon surpriver

Find big moving stocks before they move using machine learning and anomaly detection

swifter icon swifter

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

thinkbayes icon thinkbayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

tpot icon tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tsfresh icon tsfresh

Automatic extraction of relevant features from time series:

tuneta icon tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

turicreate icon turicreate

Turi Create simplifies the development of custom machine learning models.

tutorials icon tutorials

This repository contains materials for demos, tutorials, and talks by Dato Inc.

use-gplearn-to-generate-cta-factor icon use-gplearn-to-generate-cta-factor

本文通过gplearn模型,结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统,主要针对股指期货操作。

vaex icon vaex

Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.

vnpy icon vnpy

基于python的开源量化交易平台开发框架

voila icon voila

Voilà turns Jupyter notebooks into standalone web applications

vowpal_wabbit icon vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

x-stock icon x-stock

Golang实现,财报分析,股票检测,基本面选股,基金检测,基金筛选,4433法则,基金持仓相似度

xcessiv icon xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xumpy icon xumpy

A numpy reimplementation using xtensor and cython

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