最完整的AI算法面试题目仓库，1000道，25个类目

💯 Curated coding interview preparation materials for busy software engineers

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

Facebook AI Research Sequence-to-Sequence Toolkit

Pytorch implementation of Dauphin et al. (2016) "Language Modeling with Gated Convolutional Networks"

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

预训练语言模型综述

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

该仓库主要记录 NLP 算法工程师相关的面试题

all kinds of text classification models and more with deep learning

Questions to ask the company during your interview

算法工程师(人工智能CV方向)面试问题及相关资料

《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！🚀

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...

主要展示Datawhale的组队学习计划。

distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取

An Open-Source Package for Neural Relation Extraction (NRE)

Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合

A curated list of Deep learning and NLP must read papers

NLP Paper

📖 Paper reading list in conversational AI.