A complete computer science study plan to become a software engineer.
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All Algorithms implemented in Python
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Curated coding interview preparation materials for busy software engineers
Crack LeetCode, not only how, but also why.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
List of Computer Science courses with video lectures.
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,完整单步/回看/变速/语音讲解在 algomooc.com）
Source code for the X Recommendation Algorithm
All Algorithms implemented in Java
Everything you need to know to get the job.
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Free, open source crypto trading bot
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
100 Days of ML Coding
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
基于Python的开源量化交易平台开发框架
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.