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
halfrost/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
itdevbooks/pdf
编程电子书,电子书,编程书籍,包括C,C#,Docker,Elasticsearch,Git,Hadoop,HeadFirst,Java,Javascript,jvm,Kafka,Linux,Maven,MongoDB,MyBatis,MySQL,Netty,Nginx,Python,RabbitMQ,Redis,Scala,Solr,Spark,Spring,SpringBoot,SpringCloud,TCPIP,Tomcat,Zookeeper,人工智能,大数据类,并发编程,数据库类,数据挖掘,新面试题,架构设计,算法系列,计算机类,设计模式,软件测试,重构优化,等更多分类
siyuan-note/siyuan
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
alexeygrigorev/data-science-interviews
Data science interview questions and answers
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
shuzijun/leetcode-editor
Do Leetcode exercises in IDE, support leetcode.com and leetcode-cn.com, to meet the basic needs of doing exercises.Support theoretically: IntelliJ IDEA PhpStorm WebStorm PyCharm RubyMine AppCode CLion GoLand DataGrip Rider MPS Android Studio
alibaba/euler
A distributed graph deep learning framework.
jm199504/Financial-Knowledge-Graphs
小型金融知识图谱构建流程(neo4j / python / cypher / KG)
Jack-Cherish/LeetCode
:monkey:LeetCode、剑指Offer刷题笔记(C/C++、Python3实现)
gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
GRAND-Lab/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
woai3c/introduction-to-front-end-engineering
一本小书《带你入门前端工程》
PaddlePaddle/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
tmikolov/word2vec
Automatically exported from code.google.com/p/word2vec
alibaba/graph-learn
An Industrial Graph Neural Network Framework
HuangCongQing/UCAS_Course_2019
**科学院大学2019-2020课程(秋季,春季,夏季)
LAMDA-NJU/Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
yangyutu/EssentialMath
benedekrozemberczki/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
hidasib/GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
NiuTrans/CNSurvey
一份中文综述文章列表(自然语言处理&机器学习)
THUDM/GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
dglai/WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020
2019ChenGong/Machine-Learning-Notes
白板推导系列课程笔记 初版
chuxuzhang/KDD2019_HetGNN
code of HetGNN
shashanoid/Simpdf
Simple PDF text editor
trojanyao/Smartisan-Desktop-Apps-Unofficial
锤子科技(非官方)Mac / Windows 桌面应用