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StrawXu's Projects

autojs6 icon autojs6

安卓平台 JavaScript 自动化工具 (Auto.js 二次开发项目)

autox icon autox

A UiAutomator on android, does not need root access(安卓平台上的JavaScript自动化工具)

bdap icon bdap

基于Django的大数据管理平台

catboost icon catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

dalai icon dalai

The simplest way to run LLaMA on your local machine

datashine icon datashine

《Python统计与数据分析实战》课程代码,包含了大部分统计与非参数统计和数据分析的模型、算法。回归分析、方差分析、点估计、假设检验、主成分分析、因子分析、聚类分析、判别分析、对数线性模型、分位回归模型以及列联表分析、非参数平滑、非参数密度估计等各种非参数统计方法。

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

front icon front

The front end web app for Minds.com

javascript-algorithms icon javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

kats icon kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

leetcode icon leetcode

前端的算法数据结构代码调试库

ltsf-linear icon ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

machine-learning icon machine-learning

:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

pytdx icon pytdx

Python通达信数据接口

quantaxis icon quantaxis

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

rqalpha icon rqalpha

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

spring-boot-examples icon spring-boot-examples

about learning Spring Boot via examples. Spring Boot 教程、技术栈示例代码,快速简单上手教程。

statsmodels icon statsmodels

Statsmodels: statistical modeling and econometrics in Python

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