Interview & Algorithms50 / 93 projects
Algorithm practice leaderboard featuring the hottest coding interview preparation and algorithm learning projects on GitHub.
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
awesome-scalability (⭐72.3K), is a leading open-source project in Learning & Resources, built with AI, focusing on architecture, with awesome capabilities, a benchmark project in its domain, ideal for open_source AI development workflows.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
程序员鱼皮的编程宝典 ⭐️ 2026年最全编程学习路线图!包含Java学习路线、前端学习路线、Python学习路线、C++学习路线、算法学习路线、计算机基础学习路线、AI应用开发学习路线、AI Agent开发学习路线等。提供编程入门教程、AI大模型应用开发教程、RAG开发实战、MCP开发教程、Prompt工程指南、LLM应用开发、技术知识分享、学习资源推荐、项目实战教程、热门面试题、求职经验、简历优化、编程自学指南等内容,适用于所有零基础学编程、学习AI开发、转行程序员、计算机专业学生、求职找工作的同学 💎 编程学习,就来编程导航!
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PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
Plain python implementations of basic machine learning algorithms
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试秘籍。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
Repository which contains links and resources on different topics of Computer Science.
系统性的 PHP 技术面试问答大全(面经)。涵盖 PHP8、MySQL、Redis、Nginx、系统设计、算法、Laravel 源码及高并发架构原理,助你斩获后端研发 Offer。PHP Interview Questions & Answers.
AI system design guide for engineers building production AI systems and evals.
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
Playing the game of snake with AI.
算法工程师-机器学习面试题总结
编程笔记、 AI 学习、观影指南、读书笔记、生活感悟、游戏记录
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
📙 PHP 面试知识点汇总
A curated list to learning and practicing about algorithm.
🔥机器学习/深度学习/Python/大模型/多模态/LLM/deeplearning/Python/Algorithm interview/NLP Tutorial
List of Top 500 SQL Interview Questions & Answers with queries and more
A collection of stand-alone Python machine learning recipes
🔥🚀 Here you will find all the materials required for a fresher front-end interview. 💡📚 A list of helpful front-end related questions, answers, notes, blog, video, code example 🎁 You can take interview preparation as a potential candidate and test yourself. 💣
Interview Questions & Answers For Experienced Go Developers | 互联网 GO 工程师面经交流,学习
通过Anki Fsrs算法速成力扣:自动推荐题目,每日复习(支持导入外部题目:手撕、洛谷、codeforce、牛客、一题多解)。Master LeetCode via Anki Fsrs:auto-recommend problems, review daily.
Ответы на вопросы на должность Frontend разработчика.
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Recommender Systems course at Politecnico di Milano.
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
【不定期更新】收集整理的一些网站中(如知乎、Quora、Reddit、Stack Exchange等)与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.
Roadmap for Data Engineering
:zap: :elephant: TextRank (resource-efficient and low-cost automatic text summarisation) for PHP
Your AI-powered LeetCode & DSA mentor for Claude Code and Claude.ai. Master algorithms through intelligent guidance, progressive hints, and pattern recognition training—not just copy-pasting solutions. Features: Mock interviews, code review, multi-language support (Python, Java, C++, JS, Go). Learn to think like a senior engineer. 🥋
Realtime Interview Copilot is a desktop application that assists users in crafting responses during interviews. It leverages real-time audio transcription and AI-powered response generation to provide relevant and concise answers.
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".
Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.
Notes of IBM Data Science Professional Certificate Courses on Coursera
Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
Source: GitHub API · Curated · Realtime