Deanzou's starred repositories

OdooAppBox

Odoo Mobile Application

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oca-mobile

OCA Mobile - Odoo React Native - a Modern Odoo APP made with React Native by Odoo Community

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vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

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pinbar

量化投资--A股市场K线形态 Pin Bar 分析

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stock

stock股票.获取股票数据,计算股票指标,识别股票形态,内置选股策略,股票验证回测,股票自动交易,支持PC及移动设备。

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Articles

References to the Medium articles

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xgboost-doc-zh

XGBoost 中文文档

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quantstats

Portfolio analytics for quants, written in Python

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Use-SageMaker_XGBoost-convert-Time-Series-into-Supervised-Learning-for-predictive-maintenance

使用SageMaker+XGBoost,将时间序列转换为监督学习,完成预测性维护的实践

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sktime

A unified framework for machine learning with time series

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feature_engine

Feature engineering package with sklearn like functionality

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sklearn-evaluation

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

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probatus

Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.

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optuna

A hyperparameter optimization framework

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evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

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Feature_Selection

基于ray的特征选择库,集成多种方法 (a tool for feature selection based on ray distributed framework)

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lofo-importance

Leave One Feature Out Importance

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shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

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feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

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Feature-Selection

Features selector based on the self selected-algorithm, loss function and validation method

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feature_engine

Feature engineering package with sklearn like functionality

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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tods

TODS: An Automated Time-series Outlier Detection System

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pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

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Real-time-stock-market-prediction

In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining.

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ML-stock-prediction-models

使用机器学习进行股票预测并指导短线(预测未来3日股价)交易。

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qstock

qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析包,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(策略backtest)模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口; 选股模块提供了同花顺的选股数据和自定义选股,包括RPS、MM趋势、财务指标、资金流模型等; 回测模块为大家提供向量化(基于pandas)和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号,获取更多应用信息。

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shap

A game theoretic approach to explain the output of any machine learning model.

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