csutjf,github

statistical-learning-method

《统计学习方法》笔记-基于Python算法实现

stock_pg

强化学习算法实现自动炒股

stockhistoryspider

**股票行情，数据：个股K线历史每天（自从开盘日起），高开低收，成交量等各种数据下载器

structpy

Structural Analysis Library for Python based on the direct stiffness method

structuralanalysis

A python library that performs 3D framed structural analysis.

sympy

A computer algebra system written in pure Python

sympy_doc

SymPy Documentation repository

technical_books

:books:🔥收集全网最热门的技术书籍 (GO、黑客、Android、计算机原理、人工智能、大数据、机器学习、数据库、PHP、java、架构、消息队列、算法、python、爬虫、操作系统、linux、C语言)，不间断更新中:hotsprings:

thonny

Python IDE for beginners

tikz-structuralanalysis

TikZ Library for Structural Analysis

tkinter-designer

A Gui Designer for Tkinter of Python embedding in VB6 (直接使用VB6设计Tkinter GUI界面), Muliti-Languages supported.

tkinter-gui-application-development-blueprints-second-edition

Tkinter GUI Application Development Blueprints Second Edition, published by Packt

tpot

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

translators_cn

Zotero translator中文网页抓取插件

trend_ml_toolkit_xgboost

基于xgboost调参、模型训练，以及对各模型之间性能比较进行画图

trusspy

Truss Solver for Python

tushare

TuShare是实现对股票/期货等金融数据从数据采集、清洗加工到数据存储过程的工具，满足金融量化分析师和学习数据分析的人在数据获取方面的需求，它的特点是数据覆盖范围广，接口调用简单,响应快速。

tvlist-awesome-m3u-m3u8

直播源相关资源汇总 📺 💯 IPTV、M3U —— 勤洗手、戴口罩，祝愿所有人百毒不侵

web-clipper

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

webdirscan

跨平台的web目录扫描工具

wiz2joplin

Migrate from WizNote to Joplin.

writing_solid_python_code_gitbook

《编写高质量代码改善 Python 程序的 91 个建议》形成 Gitbook 的代码

xgb-kd-for-icu-mortality-prediction

Codes for An explainable knowledge distillation method with XGBoost for ICU mortality prediction.

xgb-regressor

MLflow XGBoost Regressor

xgbfi

XGBoost Feature Interactions & Importance

xgbfir

XGBoost Feature Interactions Reshaped

xgboost

https://github.com/dmlc/xgboost

xgboost-1

Xgboost implementation

xgboost-distribution

Probabilistic prediction with XGBoost.

xgboost-python

python code for xgboost(train, predict, evaluate)

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