easonlv
I have board interests in Data Mining and Machine Learning. I am particularly interested in Recommender System and Graph Neural Network.
Alibaba GroupBeijing,China
easonlv's Stars
mli/paper-reading
深度学习经典、新论文逐段精读
wangzheng0822/algo
数据结构和算法必知必会的50个代码实现
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
dgraph-io/dgraph
The high-performance database for modern applications
vesoft-inc/nebula
A distributed, fast open-source graph database featuring horizontal scalability and high availability
chefyuan/algorithm-base
一位酷爱做饭的程序员,立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com
datawhalechina/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/
changgyhub/leetcode_101
LeetCode 101:和你一起你轻松刷题(C++)
applenob/Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
MingchaoZhu/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
km1994/nlp_paper_study
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
liyupi/mianshiya-public
干净免费的面试刷题网站,帮助大家拿到满意的 offer!💎 React 前端 + Node 后端 + 云开发全栈项目 by 程序员鱼皮
0voice/campus_recruitmen_questions
2021年最新整理,5000道秋招/提前批/春招/常用面试题(含答案),包括leetcode,校招笔试题,面试题,算法题,语法题。
robertsdionne/neural-network-papers
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
SleepyBag/Statistical-Learning-Methods
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
Wang-Jun-Chao/leetcode
LeetCode算法题典
antonreshetov/image-optimizer
A tool for optimizing images and vector graphics.
vendasta/setup-new-computer-script
This script will help with the quick setup and installation of tools and applications for new developers at Vendasta.
golang-minibear2333/golang
扫清go语言一切障碍,go语言实战、go语言从入门到精通,持续更新,欢迎star
up42/image-similarity-measures
:chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
km1994/RES-Interview-Notes
该仓库主要记录 推荐系统 算法工程师相关的面试题
5x12/themlsbook
This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
Nyandwi/ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
jaredsburrows/rarcrack
Rarcrack - port for Mac OSX (works on Linux and Mac OSX)
dragen1860/Deep-Learning-with-PyTorch-book
PyTorch深度学习开源电子书
zexihuang/random-walk-embedding
A Broader Picture of Random-walk Based Graph Embedding