搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

Must-read papers on Recommender System.

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

A distributed graph deep learning framework.

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

LeetCode Top 100 Liked Questions | Top Interview Questions | LeetCode 用户最喜欢的100题 | 面试最容易被问到的题

Feature exploration for supervised learning

Natural Language Processing Tutorial for Deep Learning Researchers

NLP上手教程

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

AI实战-practicalAI 中文版

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

从零开始的 JSON 库教程

scikit-learn: machine learning in Python

A searchable compilation of Kaggle past solutions

A tool library which implement classical machine learning algorithms with numpy.

This is the Code for "Ethereum Future Prices" by Siraj Raval on Youtube

My solution to the book <A collection of Data Science Take-home Challenges>