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100-days-of-ml-code

100-Days-Of-ML-Code中文版

ad-papers

Papers on Computational Advertising

architect-awesome

后端架构师技术图谱

aws-recommendation-papers

codeforces-go

Golang 算法竞赛模板库 | Solutions to Codeforces by Go 💭💡🎈

course-selection-system

ByteCamp2021

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deepctr

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

deepctr-torch

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

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

fantastic-matplotlib

Matplotlib中文教程，在线阅读地址：https://datawhalechina.github.io/fantastic-matplotlib/

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.

fun-rec

本推荐算法教程主要是针对具有机器学习基础并想找推荐算法岗位的同学，教程由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成，形成了一个完整的从基础到实战再到面试的闭环。

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

juicy-bigdata

🎉🎉🐳 Datawhale大数据处理导论教程 | 大数据技术方向的开篇课程🎉🎉

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

machinelearningnotes

My personal notes

powerful-numpy

巨硬的NumPy

projectarchive

组织内所有项目的归档

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

python-100-days

Python - 100天从新手到大师

python3webspider

Source File of My Book related to WebSpider

reco-papers

Classic papers and resources on recommendation

recommendersystems

存储所有推荐系统的模板

rspapers

A Curated List of Must-read Papers on Recommender System.

sparrowrecsys

A Deep Learning Recommender System

statistical-learning-method-solutions-manual

《统计学习方法》（第二版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。