Beast code in Giters

YyingFan's starred repositories

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Language:TypeScriptNOASSERTION283081 6812 2054

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Language:PythonApache-2.041000 434 9149

fastText

Library for fast text representation and classification.

Language:HTMLMIT25750 847 1078

copilot-docs

Documentation for GitHub Copilot

CC-BY-4.023272 4100

pytorch_geometric

Graph Neural Network Library for PyTorch

Language:PythonMIT20629 252 3471

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Language:JavaScriptMIT11086 89 341

EverydayWechat

微信助手：1.每日定时给好友（女友）发送定制消息。2.机器人自动回复好友。3.群助手功能（例如：查询垃圾分类、天气、日历、电影实时票房、快递物流、PM2.5等）

Language:PythonMIT9932 205 191

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Language:PythonBSD-2-Clause8304 144 332

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language:PythonAGPL-3.08087 283 22

darts

A python library for user-friendly forecasting and anomaly detection on time series.

Language:PythonApache-2.07600 59 1469

just-the-docs

A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

Language:SCSSMIT7251 63 440

FATE

An Industrial Grade Federated Learning Framework

Language:PythonApache-2.05592 138 2001

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.

Language:PythonMIT4848 80 185

start-machine-learning

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

MIT4260 154 5

leetcode-editor

Do Leetcode exercises in IDE, support leetcode.com and leetcode-cn.com, to meet the basic needs of doing exercises.Support theoretically: IntelliJ IDEA PhpStorm WebStorm PyCharm RubyMine AppCode CLion GoLand DataGrip Rider MPS Android Studio

Language:JavaApache-2.03676 34 577