CJHdreamore's Stars
HobbitLong/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
alicogintel/SDM
Sequential deep matching model for recommender system at Alibaba
zepingyu0512/sli_rec
aditya-grover/node2vec
xuerongchuan/RSpapers
推荐系统论文
A-bone1/ESAM
Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
eelxpeng/CollaborativeVAE
redis/redis-py
Redis Python client
THUIR/PreHash
cubefs/cubefs
cloud-native distributed storage
xuetf/KDD_CUP_2020_Debiasing_Rush
Solution to the Debiasing Track of KDD CUP 2020
CastellanZhang/alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
PaddlePaddle/models
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
wind-liang/leetcode
leetcode 顺序刷题,详细通俗题解,with JAVA
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
xaecbd/KCenter
KCenter(KafkaCenter) is a unified platform for kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components(ksql/kafka connect).it's kafkacenter(kafka center).
tebesu/CollaborativeMemoryNetwork
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
cheungdaven/DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
dawenl/vae_cf
Variational autoencoders for collaborative filtering
graphframes/graphframes
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
star7th/showdoc
ShowDoc is a tool greatly applicable for an IT team to share documents online一个非常适合IT团队的在线API文档、技术文档工具
ogerhsou/Youtube-Recommendation-Tensorflow
code of paper `Deep Neural Networks for Youtube Recommendation`
wzhe06/SparkCTR
CTR prediction model based on spark(LR, GBDT, DNN)
wzhe06/Reco-papers
Classic papers and resources on recommendation
chihming/competitive-recsys
A collection of resources for Recommender Systems (RecSys)
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
virgili0/Virgilio
Your new Mentor for Data Science E-Learning.