Popular GitHub Repositories for Maang Preparation

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

AI算法工程师面试宝典：三年面试经验，五年模拟题库！本书涵盖AIGC、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、具身智能、元宇宙、AGI等人工智能领域的面试笔试真题及实用技巧，助你轻松应对AI行业挑战。

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

Prepping tables for machine learning

【三年面试五年模拟】AI算法工程师面试秘籍。涵盖AIGC、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、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

Scalable data pre processing and curation toolkit for LLMs

Open source project for data preparation of LLM application builders

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

Data Preparation for Satellite Machine Learning

Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"

? Pytorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.

This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.

VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities.

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

?️ Blueprint-driven Claude Code autopilot. Smart preparation over endless iterations - AI analyzes patterns, creates solid implementation plans, delivers working code in 15 minutes.

Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.

It contains interview preparation notes provided by iNeuron, important links, MLOps resources

This is a collection of DS, AI, ML, DL, NLP, Computer Vision job interview questions.