piper0124

piper0124

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chartpy

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

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explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

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pyfolio-reloaded

Portfolio and risk analytics in Python

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lumibot

Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more

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linearmodels

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

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optuna

A hyperparameter optimization framework

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learn_backtrader

BackTrader中文教程笔记(by:量化投资与机器学习),系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等,彻底掌握量化神器的使用方法。章节:介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……(持续更新中)

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PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

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The-Kaggle-Workbook

Code Repository for The Kaggle Workbook, Published by Packt

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The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

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Deep-Learning-for-Time-Series-Data-Cookbook

B21145 - Deep Learning for Time Series Data Cookbook

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Time-Series-Analysis-with-Python-Cookbook

Time Series Analysis with Python Cookbook, published by Packt

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Modern-Time-Series-Forecasting-with-Python

Modern Time Series Forecasting with Python, published by Packt

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AAAMLP-CN

Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/

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approachingalmost

Approaching (Almost) Any Machine Learning Problem

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mplfinance

Financial Markets Data Visualization using Matplotlib

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PaddleTS

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

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skfolio

Python library for portfolio optimization built on top of scikit-learn

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Pake

🤱🏻 Turn any webpage into a desktop app with Rust. 🤱🏻 利用 Rust 轻松构建轻量级多端桌面应用

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course22

The fast.ai course notebooks

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mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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Adv_Fin_ML_Exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

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VaR-Backtesting

Implementation of a variety of Value-at-Risk backtests

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CAViaR

Measure market risk by CAViaR model

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machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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FinancePy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

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Engine

Open Source Risk Engine

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QuantLib

The QuantLib C++ library

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