Kason's repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
architect-awesome
后端架构师技术图谱
Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
Deep-Learning-Interview-Book
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）
Deep-Learning-with-TensorFlow-book
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Distributed-Systems
MIT课程《Distributed Systems 》学习和翻译
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
full_stack_coder
Java后端面试资料；Leetcode；后端研发资料；各大厂架构开发学习资源；精华机器学习，NLP，图像识别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
Interview
Interview = 简历指南 + LeetCode + Kaggle
interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
list_of_recommender_systems
A List of Recommender Systems and Resources
Machine-Learning_ZhouZhihua
Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University
Movie-Recommendation-System-Web-Application
Building a Movie Recommendation System web application using Django framework and Collaborative Filtering technique
NeuRec
Next RecSys Library
recommenders
Best Practices on Recommendation Systems
RecommendSystemPractice
《推荐系统实践》代码实现
RecSys
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
RSPapers
Must-read papers on Recommender System.
Tech_Aarticle
主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
user-profile
A User Profile Generation System. 用户画像生成系统. 大数据案例分析作业